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Lista de obras de Ozgur Kisi

A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

scholarly article by Ozgur Kisi & Coskun Ozkan published 10 October 2016 in Water Resources Management

A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

article

A genetic programming technique for lake level modeling

article

A machine code-based genetic programming for suspended sediment concentration estimation

A minimalistic approach for evapotranspiration estimation using the Prophet model

scientific article published in 2020

A new approach for modeling suspended sediment: Evolutionary fuzzy approach

A new approach for simulating and forecasting the rainfall-runoff process within the next two months

A new wavelet conjunction approach for estimation of relative humidity: wavelet principal component analysis combined with ANN

A nonlinear mathematical modeling of daily pan evaporation based on conjugate gradient method

A nonlinear modelling-based high-order response surface method for predicting monthly pan evaporations

A probe into the chaotic nature of daily streamflow time series by correlation dimension and largest Lyapunov methods

A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm

article

A wavelet-support vector machine conjunction model for monthly streamflow forecasting

Abutment scour depth modeling using neuro-fuzzy-embedded techniques

Adaptive neuro-fuzzy computing technique for suspended sediment estimation

Advanced Hybrid Metaheuristic Machine Learning Models Application for Reference Crop Evapotranspiration Prediction

scientific article published in 2022

An innovative method for trend analysis of monthly pan evaporations

An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

scholarly article by Ozgur Kisi & Yasin Kilic published 9 August 2015 in Theoretical and Applied Climatology

Anfis to estimate discharge capacity of rectangular side weir

article

Applicability of Mamdani and Sugeno fuzzy genetic approaches for modeling reference evapotranspiration

article published in 2013

Applicability of Several Soft Computing Approaches in Modeling Oxygen Transfer Efficiency at Baffled Chutes

Applicability of a Fuzzy Genetic System for Crack Diagnosis in Timoshenko Beams

Application of improved version of multi verse optimizer algorithm for modeling solar radiation

artículo científico publicado en 2022

Application of least square support vector machine and multivariate adaptive regression spline models in long term prediction of river water pollution

article by Ozgur Kisi & Kulwinder Singh Parmar published March 2016 in Journal of Hydrology

Application of non-linear models to predict inhibition effects of various plant hydrosols on Listeria monocytogenes inoculated on fresh-cut apples.

artículo científico publicado en 2012

Application of two different neural network techniques to lateral outflow over rectangular side weirs located on a straight channel

Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review

artículo científico publicado en 2014

Assessment of rainfall aggregation and disaggregation using data-driven models and wavelet decomposition

Bridge afflux analysis through arched bridge constrictions using artificial intelligence methods

scholarly article by Mustafa Mamak et al published September 2009 in Civil Engineering and Environmental Systems

Closure to “Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate” by Ozgur Kisi

article

Comment on ‘Nourani V, Mogaddam AA, Nadiri AO. 2008. An ANN-based model for spatiotemporal groundwater level forecasting.Hydrological Processes22: 5054-5066’

Comments on

Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)

article

Comparison of Different Empirical Methods for Estimating Daily Reference Evapotranspiration in Mediterranean Climate

article

Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey

Comparison of Two Different Adaptive Neuro-Fuzzy Inference Systems in Modelling Daily Reference Evapotranspiration

scholarly article in Water Resources Management, vol. 28 no. 9, May 2014

Comparison of different ANN techniques in river flow prediction

Comparison of four heuristic regression techniques in solar radiation modeling: Kriging method vs RSM, MARS and M5 model tree

Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

article

Comparison of six different soft computing methods in modeling evaporation in different climates

Comparison of three artificial intelligence techniques for discharge routing

scholarly article by Rahman Khatibi et al published June 2011 in Journal of Hydrology

Comparison of two different data-driven techniques in modeling lake level fluctuations in Turkey

article

Corrigendum to “An innovative method for trend analysis of monthly pan evaporations” [J. Hydrol. 527 (2015) 1123–1129]

scholarly article

Corrigendum to “Applications of hybrid wavelet–Artificial Intelligence models in hydrology: A review” [J. Hydrol. 514 (2014) 358–377]

article

DAMAGE DIAGNOSIS IN BEAM-LIKE STRUCTURES BY ARTIFICIAL NEURAL NETWORKS

scholarly article by Kamil Aydin & Ozgur Kisi published 6 May 2015 in Journal of Civil Engineering and Management

Daily Mean Streamflow Prediction in Perennial and Non-Perennial Rivers Using Four Data Driven Techniques

scholarly article in Water Resources Management, vol. 31 no. 15, July 2017

Daily global solar radiation modeling using data-driven techniques and empirical equations in a semi-arid climate

Daily pan evaporation modeling using chi-squared automatic interaction detector, neural networks, classification and regression tree

Daily water level forecasting using wavelet decomposition and artificial intelligence techniques

scholarly article by Youngmin Seo et al published January 2015 in Journal of Hydrology

Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks

Damage detection in structural beam elements using hybrid neuro fuzzy systems

scholarly article by Kamil Aydin & Ozgur Kisi published 25 December 2015 in Smart Structures and Systems

Determining Flow Friction Factor in Irrigation Pipes Using Data Mining and Artificial Intelligence Approaches

scholarly article by Saeed Samadianfard et al published 14 September 2014 in Applied Artificial Intelligence

Development of an indirect method for modelling the water footprint of electricity using wavelet transform coupled with the random forest model

artículo científico publicado en 2020

Discussion of ȁFuzzy logic model approaches to daily pan evaporation estimation in western Turkeyȁ

Discussion of “Application of neural network and adaptive neuro-fuzzy inference systems for river flow prediction”

Discussion of “Comparative Study of ANNs versus Parametric Methods in Rainfall Frequency Analysis” by Jianxun He and Caterina Valeo

Discussion of “Daily Pan Evaporation Modeling in a Hot and Dry Climate” by J. Piri, S. Amin, A. Moghaddamnia, A. Keshavarz, D. Han, and R. Remesan

Discussion of “Estimation of Furrow Irrigation Sediment Loss Using an Artificial Neural Network” by Bradley A. King, David L. Bjorneberg, Thomas J. Trout, Luciano Mateos, Danielle F. Araujo, and Raimundo N. Costa

scholarly article by Ozgur Kisi published May 2017 in Journal of Irrigation and Drainage Engineering

Discussion of “Improved Particle Swarm Optimization–Based Artificial Neural Network for Rainfall-Runoff Modeling” by Mohsen Asadnia, Lloyd H. C. Chua, X. S. Qin, and Amin Talei

scholarly article by Ozgur Kisi published September 2015 in Journal of Hydrologic Engineering

Discussion of “Monthly Mean Streamflow Prediction Based on Bat Algorithm-Support Vector Machine” by Bing Xing, Rong Gan, Guodong Liu, Zhongfang Liu, Jing Zhang, and Yufeng Ren

Discussion of “Prediction of Discharge Capacity over Two-Cycle Labyrinth Side Weir Using ANFIS” by M. Cihan Aydin and Korhan Kayisli

article published in 2017

Discussion of “Simple ET0 Forms of Penman’s Equation without Wind and/or Humidity Data. I: Theoretical Development” by John D. Valiantzas

article

Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model

article

Drought forecasting using the Prophet model in a semi-arid climate region of western India

artículo científico publicado en 2022

Enhancing Long-Term Streamflow Forecasting and Predicting using Periodicity Data Component: Application of Artificial Intelligence

scholarly article by Zaher Mundher Yaseen et al published 6 July 2016 in Water Resources Management

Erratum to: A New Approach for Modeling Sediment-Discharge Relationship: Local Weighted Linear Regression

scholarly article by Ozgur Kisi & Coskun Ozkan published January 2017 in Water Resources Management

Estimating Daily Pan Evaporation Using Different Data-Driven Methods and Lag-Time Patterns

article

Estimating daily reference evapotranspiration using available and estimated climatic data by adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

article

Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques

scholarly article in Water Resources Management, vol. 26 no. 15, September 2012

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

scholarly article in Water Resources Management, vol. 28 no. 1, November 2013

Estimation of daily dew point temperature using genetic programming and neural networks approaches

Estimation of dew point temperature using neuro-fuzzy and neural network techniques

Estimation of mean monthly air temperatures in Turkey

Evaluating groundwater level fluctuation by support vector regression and neuro-fuzzy methods: a comparative study

Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations

article

Evaluation of MLP-ANN Training Algorithms for Modeling Soil Pore-Water Pressure Responses to Rainfall

article

Evaluation of different data management scenarios for estimating daily reference evapotranspiration

article

Evaluation of peak and residual conditions of actively confined concrete using neuro-fuzzy and neural computing techniques

Evaporation modelling using different machine learning techniques

scholarly article by Lunche Wang et al published 29 March 2017 in International Journal of Climatology

Evapotranspiration Modeling Using Linear Genetic Programming Technique

Evapotranspiration modelling from climatic data using a neural computing technique

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors.

artículo científico publicado en 2017

Fast convergence optimization model for single and multi-purposes reservoirs using hybrid algorithm

Flood Hazard Mapping by Using Geographic Information System and Hydraulic Model: Mert River, Samsun, Turkey

article

Flood Routing in River Reaches Using a Three-Parameter Muskingum Model Coupled with an Improved Bat Algorithm

Forecasting daily lake levels using artificial intelligence approaches

article

Frequency analyses of annual extreme rainfall series from 5 min to 24 h

Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region

article

Fuzzy Genetic Approach for Modeling Reference Evapotranspiration

Generalizability of Gene Expression Programming-based approaches for estimating daily reference evapotranspiration in coastal stations of Iran

Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

article by Jalal Shiri et al published February 2013 in Journal of Hydrology

Groundwater budget forecasting, using hybrid wavelet-ANN-GP modelling: a case study of Azarshahr Plain, East Azerbaijan, Iran

Groundwater quality ranking for drinking purposes, using the entropy method and the spatial autocorrelation index

Hydrological Hazards in a Changing Environment: Early Warning, Forecasting, and Impact Assessment

Impact of climate change on runoff in Lake Urmia basin, Iran

article

Improving Accuracy of River Flow Forecasting Using LSSVR with Gravitational Search Algorithm

Improving Significant Wave Height Prediction Using a Neuro-Fuzzy Approach and Marine Predators Algorithm

artículo científico publicado en 2023

Improving accuracy of neuro fuzzy and support vector regression for drought modelling using grey wolf optimization

artículo científico publicado en 2022

Independent testing for assessing the calibration of the Hargreaves–Samani equation: New heuristic alternatives for Iran

Initial assessment of bridge backwater using an artificial neural network approach

scholarly article by Murat Cobaner et al published May 2008 in Canadian Journal of Civil Engineering

Intermittent Streamflow Forecasting by Using Several Data Driven Techniques

scholarly article in Water Resources Management, vol. 26 no. 2, October 2011

Investigating chaos in river stage and discharge time series

Investigation into the Effects of Climate Change on Reference Evapotranspiration Using the HadCM3 and LARS-WG

artículo científico publicado en 2020

Investigation of Empirical Mode Decomposition in Forecasting of Hydrological Time Series

scholarly article in Water Resources Management, vol. 28 no. 12, June 2014

Investigation of trend analysis of monthly total precipitation by an innovative method

Joint modelling of annual maximum drought severity and corresponding duration

Lake Level Forecasting Using Wavelet-SVR, Wavelet-ANFIS and Wavelet-ARMA Conjunction Models

article

Least squares support vector machine for modeling daily reference evapotranspiration

article by Ozgur Kisi published 11 April 2012 in Irrigation Science

Local vs. external training of neuro-fuzzy and neural networks models for estimating reference evapotranspiration assessed through k-fold testing

article

Long-term modelling of wind speeds using six different heuristic artificial intelligence approaches

scholarly article by Saman Maroufpoor et al published 13 March 2019 in International Journal of Climatology

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

M5 model tree and Monte Carlo simulation for efficient structural reliability analysis

Modeling Potential Evapotranspiration by Improved Machine Learning Methods Using Limited Climatic Data

artículo científico publicado en 2023

Modeling Reference Evapotranspiration Using Evolutionary Neural Networks

Modeling and comparison of hourly photosynthetically active radiation in different ecosystems

Modeling antimicrobial effect of different grape pomace and extracts on S. aureus and E. coli in vegetable soup using artificial neural network and fuzzy logic system

scholarly article by Osman Sagdic et al published June 2012 in Expert Systems with Applications

Modeling dimensionless longitudinal dispersion coefficient in natural streams using artificial intelligence methods

scholarly article by Z. Fuat Toprak et al published 13 September 2013 in KSCE Journal of Civil Engineering

Modeling discharge-suspended sediment relationship using least square support vector machine

article by Ozgur Kisi published August 2012 in Journal of Hydrology

Modeling discharge–sediment relationship using neural networks with artificial bee colony algorithm

Modeling groundwater fluctuations by three different evolutionary neural network techniques using hydroclimatic data

article published in 2017

Modeling of Dissolved Oxygen Concentration Using Different Neural Network Techniques in Foundation Creek, El Paso County, Colorado

Modeling of air pollutants using least square support vector regression, multivariate adaptive regression spline, and M5 model tree models

article by Ozgur Kisi et al published 13 April 2017 in Air Quality, Atmosphere and Health

Modeling rainfall-runoff process using soft computing techniques

Modeling reference evapotranspiration using three different heuristic regression approaches

Modeling shear stress distribution in natural small streams by soft computing methods

Modeling soil bulk density through a complete data scanning procedure: Heuristic alternatives

Modeling soil cation exchange capacity using soil parameters: Assessing the heuristic models

Modeling soil temperatures at different depths by using three different neural computing techniques

Modeling solar radiation of Mediterranean region in Turkey by using fuzzy genetic approach

Modelling daily reference evapotranspiration in humid locations of South Korea using local and cross-station data management scenarios

Modelling long-term monthly temperatures by several data-driven methods using geographical inputs

Modelling of chemical oxygen demand by using ANNs, ANFIS and k-means clustering techniques

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)

Modified Response-Surface Method: New Approach for Modeling Pan Evaporation

article published in 2017

Modifying Hargreaves–Samani equation with meteorological variables for estimation of reference evapotranspiration in Turkey

Monthly pan evaporation modeling using linear genetic programming

Neural networks for estimation of discharge capacity of triangular labyrinth side-weir located on a straight channel

Neural networks with artificial bee colony algorithm for modeling daily reference evapotranspiration

article by Coskun Ozkan et al published 17 December 2010 in Irrigation Science

Neuro-fuzzy and neural network techniques for forecasting sea level in Darwin Harbor, Australia

article

Novel Predictive Model of the Debonding Strength for Masonry Members Retrofitted with FRP

Novel approaches for air temperature prediction: A comparison of four hybrid evolutionary fuzzy models

artículo científico publicado en 2019

Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

scholarly article in Water Resources Management, vol. 26 no. 11, June 2012

Pan evaporation modeling using four different heuristic approaches

Pan evaporation modeling using least square support vector machine, multivariate adaptive regression splines and M5 model tree

article by Ozgur Kisi et al published September 2015 in Journal of Hydrology

Pan evaporation modeling using six different heuristic computing methods in different climates of China

article

Performance Evaluation of ANN and ANFIS Models for Estimating Garlic Crop Evapotranspiration

article

Performance of radial basis and LM-feed forward artificial neural networks for predicting daily watershed runoff

scholarly article by Mohammad Zounemat-kermani et al published December 2013 in Applied Soft Computing

Plunging Flow Depth Estimation in a Stratified Dam Reservoir Using Neuro-Fuzzy Technique

scholarly article in Water Resources Management, vol. 29 no. 9, May 2015

Pre-processing data to predict groundwater levels using the fuzzy standardized evapotranspiration and precipitation index (SEPI)

scholarly article in Water Resources Management, vol. 31 no. 14, August 2017

Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models

scholarly article in Water Resources Management, vol. 25 no. 13, June 2011

Precipitation forecasting by using wavelet-support vector machine conjunction model

article

Predicting Daily Streamflow in a Cold Climate Using a Novel Data Mining Technique: Radial M5 Model Tree

artículo científico publicado en 2022

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

scholarly article by Iman Mansouri et al published 5 January 2016 in Materials and Structures

Predicting daily pan evaporation by soft computing models with limited climatic data

Predicting discharge capacity of triangular labyrinth side weir located on a straight channel by using an adaptive neuro-fuzzy technique

Predicting groundwater level fluctuations with meteorological effect implications—A comparative study among soft computing techniques

Predicting river daily flow using wavelet-artificial neural networks based on regression analyses in comparison with artificial neural networks and support vector machine models

scholarly article by Maryam Shafaei & Ozgur Kisi published 18 April 2016 in Neural Computing and Applications

Predicting the geometry of regime rivers using M5 model tree, multivariate adaptive regression splines and least square support vector regression methods

article by Saba Shaghaghi et al published 27 November 2018 in International Journal of River Basin Management

Prediction of Discharge Coefficient for Trapezoidal Labyrinth Side Weir Using a Neuro-Fuzzy Approach

scholarly article in Water Resources Management, vol. 27 no. 5, January 2013

Prediction of Hydropower Energy Using ANN for the Feasibility of Hydropower Plant Installation to an Existing Irrigation Dam

article

Prediction of Potential Evapotranspiration Using Temperature-Based Heuristic Approaches

artículo científico publicado en 2020

Prediction of Short-Term Operational Water Levels Using an Adaptive Neuro-Fuzzy Inference System

scholarly article by Jalal Shiri et al published November 2011 in Journal of Waterway, Port, Coastal, and Ocean Engineering

Prediction of Ultimate Strain and Strength of FRP-Confined Concrete Cylinders Using Soft Computing Methods

Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach

article

Prediction of debonding strength for masonry elements retrofitted with FRP composites using neuro fuzzy and neural network approaches

scholarly article by Iman Mansouri & Ozgur Kisi published March 2015 in Composites Part B: Engineering

Prediction of diffuse photosynthetically active radiation using different soft computing techniques

Prediction of effect of natural antioxidant compounds on hazelnut oil oxidation by adaptive neuro-fuzzy inference system and artificial neural network.

artículo científico publicado en 2011

Prediction of fatty acid composition of vegetable oils based on rheological measurements using nonlinear models

article

Prediction of lateral outflow over triangular labyrinth side weirs under subcritical conditions using soft computing approaches

Prediction of long-term monthly air temperature using geographical inputs

artículo científico publicado en 2013

Prediction of long-term monthly precipitation using several soft computing methods without climatic data

Prediction of solar radiation in China using different adaptive neuro-fuzzy methods and M5 model tree

article

Quantifying hourly suspended sediment load using data mining models: Case study of a glacierized Andean catchment in Chile

REPLY to Discussion of “Precipitation Forecasting Using Wavelet-Genetic Programming and Wavelet-Neuro-Fuzzy Conjunction Models”

scholarly article in Water Resources Management, vol. 26 no. 12, May 2012

Reference Evapotranspiration Modeling Using New Heuristic Methods

artículo científico publicado en 2020

Reply to comment on ‘Kisi O. 2007. Evapotranspiration modelling from climatic data using a neural computing technique.Hydrological Processes21:1925–1934’

Reply to the Discussion of “Evapotranspiration modelling using support vector machines” by R. J. Abrahart et al

Reply to the comments on “Comparison of Mann–Kendall and innovative trend method for water quality parameters of the Kizilirmak River, Turkey” by Kisi, O. and Ay, M. [J. Hydrol. 513 (2014) 362–375] and “An innovative method for trend analys

River Flow Estimation and Forecasting by Using Two Different Adaptive Neuro-Fuzzy Approaches

scholarly article in Water Resources Management, vol. 26 no. 6, February 2012

River Stage Forecasting Using Wavelet Packet Decomposition and Machine Learning Models

scholarly article by Youngmin Seo et al published 23 June 2016 in Water Resources Management

River Suspended Sediment Load Prediction: Application of ANN and Wavelet Conjunction Model

article

River suspended sediment estimation by climatic variables implication: Comparative study among soft computing techniques

River suspended sediment modelling using a fuzzy logic approach

article published in 2006

SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment

Short-term and long-term streamflow forecasting using a wavelet and neuro-fuzzy conjunction model

Short-term and long-term streamflow prediction by using 'wavelet–gene expression' programming approach

article

Simulation of suspended sediment based on gamma test, heuristic, and regression-based techniques

Soil temperature modeling at different depths using neuro-fuzzy, neural network, and genetic programming techniques

Solar radiation prediction using different techniques: model evaluation and comparison

article

Spatial monitoring and zoning water quality of Sistan River in the wet and dry years using GIS and geostatistics

Stable alluvial channel design using evolutionary neural networks

Stream Flow Forecasting of Poorly Gauged Mountainous Watershed by Least Square Support Vector Machine, Fuzzy Genetic Algorithm and M5 Model Tree Using Climatic Data from Nearby Station

article by Rana Muhammad Adnan et al published 25 August 2018 in Water Resources Management

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

Streamflow Forecasting and Estimation Using Least Square Support Vector Regression and Adaptive Neuro-Fuzzy Embedded Fuzzy c-means Clustering

article by Ozgur Kisi published 13 August 2015 in Water Resources Management

Suspended Sediment Modeling Using Neuro-Fuzzy Embedded Fuzzy c-Means Clustering Technique

scholarly article in Water Resources Management, vol. 30 no. 11, June 2016

Suspended sediment estimation using neuro-fuzzy and neural network approaches/Estimation des matières en suspension par des approches neurofloues et à base de réseau de neurones

Suspended sediment modeling using genetic programming and soft computing techniques

The Effect of Dust Storm on Sea Surface Temperature in the Western Basin of Persian Gulf

artículo científico publicado en 2022

The Implementation of a Hybrid Model for Hilly Sub-Watershed Prioritization Using Morphometric Variables: Case Study in India

The potential of different ANN techniques in evapotranspiration modelling

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction

artículo científico publicado en 2022

Time series analysis on marine wind-wave characteristics using chaos theory

Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels

scholarly article by Omer Bilhan et al published April 2011 in Advances in Engineering Software

Water temperature prediction in a subtropical subalpine lake using soft computing techniques

article

Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

scholarly article in Water Resources Management, vol. 25 no. 2, September 2010

Wavelet regression model for short-term streamflow forecasting

Wavelet-linear genetic programming: A new approach for modeling monthly streamflow

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