A Gravitational Search Algorithm for Optimization of Modular Neural Networks in Pattern Recognition

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A Hybrid Intelligent System Model for Hypertension Diagnosis

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A Hybrid Intelligent System Model for Hypertension Risk Diagnosis

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A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis

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A New Model Based on a Fuzzy System for Arterial Hypertension Classification

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A Proposal of a Fuzzy System for Hypertension Diagnosis

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A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis

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Conclusions

Design of Modular Neural Network for Arterial Hypertension Diagnosis

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Design of a Fuzzy System for Diagnosis of Hypertension

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Design of a Neuro-Fuzzy System for Diagnosis of Arterial Hypertension

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Design of an Optimized Fuzzy Classifier for the Diagnosis of Blood Pressure with a New Computational Method for Expert Rule Optimization

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Echocardiogram Image Recognition Using Neural Networks

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Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications

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Fuzzy Logic for Arterial Hypertension Classification

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Fuzzy Optimized Classifier for the Diagnosis of Blood Pressure Using Genetic Algorithm

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Fuzzy logic in the gravitational search algorithm enhanced using fuzzy logic with dynamic alpha parameter value adaptation for the optimization of modular neural networks in echocardiogram recognition

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Fuzzy logic in the gravitational search algorithm for the optimization of modular neural networks in pattern recognition

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Intelligent System for Risk Estimation of Arterial Hypertension

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Interval type-2 fuzzy logic gravitational search algorithm for the optimization of modular neural networks in echocardiogram recognition

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Introduction

Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures

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Neuro-Fuzzy Hybrid Model for the Diagnosis of Blood Pressure

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Neuro-Fuzzy Modular Approaches for Classification of Arterial Hypertension with a Method for the Expert Rules Optimization

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