Lista de obras -

A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization

artículo científico publicado en 2022

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.

artículo científico publicado en 2017

A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis

A topology-based single-pool decomposition framework for large-scale global optimization

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

artículo científico publicado en 2020

An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems

An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization

An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus

artículo científico publicado en 2022

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks

artículo científico publicado en 2013

Bilateral sensitivity analysis: a better understanding of a neural network

artículo científico publicado en 2022

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.

artículo científico publicado en 2016

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty ⬇️

artículo científico publicado el 9 de mayo de 2012

Convergence analysis of online gradient method for BP neural networks ⬇️

artículo científico publicado el 16 de septiembre de 2010

Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks ⬇️

artículo científico publicado el 1 de agosto de 2011

Fractional Approximation of Broad Learning System

Fractional-order gradient descent learning of BP neural networks with Caputo derivative.

artículo científico publicado en 2017

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application

scientific article published on 26 March 2019

Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning

artículo científico publicado en 2018

Lista de obras de

A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization

A Novel Pruning Algorithm for Smoothing Feedforward Neural Networks Based on Group Lasso Method.

A recalling-enhanced recurrent neural network: Conjugate gradient learning algorithm and its convergence analysis

A topology-based single-pool decomposition framework for large-scale global optimization

Affine Transformation-Enhanced Multifactorial Optimization for Heterogeneous Problems

An Adaptive Neuro-Fuzzy System With Integrated Feature Selection and Rule Extraction for High-Dimensional Classification Problems

An Enhanced Competitive Swarm Optimizer With Strongly Convex Sparse Operator for Large-Scale Multiobjective Optimization

An Input Weights Dependent Complex-Valued Learning Algorithm Based on Wirtinger Calculus

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks

Bilateral sensitivity analysis: a better understanding of a neural network

Boundedness and convergence analysis of weight elimination for cyclic training of neural networks.

Computational properties and convergence analysis of BPNN for cyclic and almost cyclic learning with penalty ⬇️

Convergence analysis of online gradient method for BP neural networks ⬇️

Convergence of Cyclic and Almost-Cyclic Learning With Momentum for Feedforward Neural Networks ⬇️

Fractional Approximation of Broad Learning System

Fractional-order gradient descent learning of BP neural networks with Caputo derivative.

Fully complex conjugate gradient-based neural networks using Wirtinger calculus framework: Deterministic convergence and its application

Weight Noise Injection-Based MLPs With Group Lasso Penalty: Asymptotic Convergence and Application to Node Pruning