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

Applied Soft Computing ◽

10.1016/j.asoc.2015.08.034 ◽

2015 ◽

Vol 37 ◽

pp. 245-254 ◽

Cited By ~ 19

Author(s):

Beatriz González ◽

Fevrier Valdez ◽

Patricia Melin ◽

German Prado-Arechiga

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Modular Neural Networks ◽

Gravitational Search

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

2016 IEEE Symposium Series on Computational Intelligence (SSCI) ◽

10.1109/ssci.2016.7850134 ◽

2016 ◽

Author(s):

Beatriz Gonzalez ◽

Patricia Melin ◽

Fevrier Valdez ◽

German Prado-Arechiga

Keyword(s):

Neural Networks ◽

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Modular Neural Networks ◽

Gravitational Search ◽

Interval Type

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

Expert Systems with Applications ◽

10.1016/j.eswa.2015.03.034 ◽

2015 ◽

Vol 42 (14) ◽

pp. 5839-5847 ◽

Cited By ~ 37

Author(s):

Beatriz González ◽

Fevrier Valdez ◽

Patricia Melin ◽

German Prado-Arechiga

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Modular Neural Networks ◽

Gravitational Search

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

Studies in Computational Intelligence - Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics ◽

10.1007/978-3-319-10960-2_8 ◽

2014 ◽

pp. 127-137 ◽

Cited By ~ 2

Author(s):

Beatriz González ◽

Fevrier Valdez ◽

Patricia Melin ◽

German Prado-Arechiga

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Modular Neural Networks ◽

Gravitational Search

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Interval Type-2 Fuzzy Logic for Parameter Adaptation in the Gravitational Search Algorithm

Advances in Computational Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-62434-1_20 ◽

2017 ◽

pp. 239-249

Author(s):

Beatriz González ◽

Fevrier Valdez ◽

Patricia Melin

Keyword(s):

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Parameter Adaptation ◽

Gravitational Search ◽

Interval Type

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Gravitational Search Algorithm with Parameter Adaptation Through a Fuzzy Logic System

Nature-Inspired Design of Hybrid Intelligent Systems - Studies in Computational Intelligence ◽

10.1007/978-3-319-47054-2_26 ◽

2016 ◽

pp. 391-405 ◽

Cited By ~ 1

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Fuzzy Logic System ◽

Parameter Adaptation ◽

Gravitational Search ◽

Logic System

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Hybrid fuzzy logic and gravitational search algorithm-based multiple filters for image restoration

International Journal of Data Analysis Techniques and Strategies ◽

10.1504/ijdats.2020.10026840 ◽

2020 ◽

Vol 12 (1) ◽

pp. 76

Author(s):

R. Sukumar ◽

S. Senthilpandi ◽

A. Senthilselvi

Keyword(s):

Fuzzy Logic ◽

Image Restoration ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Gravitational Search

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Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm

Applied Mathematics and Computation ◽

10.1016/j.amc.2012.04.069 ◽

2012 ◽

Vol 218 (22) ◽

pp. 11125-11137 ◽

Cited By ~ 191

Author(s):

SeyedAli Mirjalili ◽

Siti Zaiton Mohd Hashim ◽

Hossein Moradian Sardroudi

Keyword(s):

Neural Networks ◽

Particle Swarm Optimization ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Particle Swarm ◽

Feedforward Neural Networks ◽

Swarm Optimization ◽

Hybrid Particle ◽

Hybrid Particle Swarm Optimization ◽

Gravitational Search

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An effective gbest-guided gravitational search algorithm for real-parameter optimization and its application in training of feedforward neural networks

Knowledge-Based Systems ◽

10.1016/j.knosys.2017.12.017 ◽

2018 ◽

Vol 143 ◽

pp. 192-207 ◽

Cited By ~ 17

Author(s):

Vijay Kumar Bohat ◽

K.V. Arya

Keyword(s):

Neural Networks ◽

Parameter Optimization ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Feedforward Neural Networks ◽

Real Parameter ◽

Gravitational Search

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Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm

Information Sciences ◽

10.1016/j.ins.2018.10.025 ◽

2019 ◽

Vol 476 ◽

pp. 159-175 ◽

Cited By ~ 45

Author(s):

Frumen Olivas ◽

Fevrier Valdez ◽

Patricia Melin ◽

Alberto Sombra ◽

Oscar Castillo

Keyword(s):

Fuzzy Logic ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Dynamic Parameter ◽

Parameter Adaptation ◽

Gravitational Search ◽

Interval Type ◽

Modified Gravitational Search Algorithm

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Optimal Recognition Model Based on Convolutional Neural Networks and Fuzzy Gravitational Search Algorithm Method

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine - Studies in Computational Intelligence ◽

10.1007/978-3-030-34135-0_6 ◽

2019 ◽

pp. 71-81 ◽

Cited By ~ 2

Author(s):

Yutzil Poma ◽

Patricia Melin ◽

Claudia I. González ◽

Gabriela E. Martinez

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Search Algorithm ◽

Gravitational Search Algorithm ◽

Recognition Model ◽

Model Based ◽

Gravitational Search

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