Télécharger le livre :  Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks

This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic.This book describes a hybrid method with three different techniques of intelligence computation: neural networks, optimization algorithms and fuzzy...
Editeur : Springer
Parution : 2023-11-25

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52,74

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Télécharger le livre :  Mycorrhiza Optimization Algorithm

This book provides two new optimization algorithms to address real optimization problems. Optimization is a fundamental concept in engineering and science, and its applications are needed in many fields. From designing products and systems to developing algorithms and...
Editeur : Springer
Parution : 2023-10-30

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47,46

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Télécharger le livre :  General Type-2 Fuzzy Logic in Dynamic Parameter Adaptation for the Harmony Search Algorithm

This book focuses on the fields of fuzzy logic and metaheuristic algorithms, particularly the harmony search algorithm and fuzzy control. There are currently several types of metaheuristics used to solve a range of real-world of problems, and these metaheuristics...
Editeur : Springer
Parution : 2020-03-27
Collection : SpringerBriefs in Applied Sciences and Technology
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52,74

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Télécharger le livre :  A New Bio-inspired Optimization Algorithm Based on the Self-defense Mechanism of Plants in Nature

This book presents a new meta-heuristic algorithm, inspired by the self-defense mechanisms of plants in nature. Numerous published works have demonstrated the various self-defense mechanisms (survival strategies) plants use to protect themselves against predatory...
Editeur : Springer
Parution : 2018-12-30
Collection : SpringerBriefs in Applied Sciences and Technology
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52,74

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Télécharger le livre :  Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic

In this book, a methodology for parameter adaptation in meta-heuristic op-timization methods is proposed. This methodology is based on using met-rics about the population of the meta-heuristic methods, to decide through a fuzzy inference system the best parameter values...
Editeur : Springer
Parution : 2018-03-14
Collection : SpringerBriefs in Applied Sciences and Technology
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52,74

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Télécharger le livre :  New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks

In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of...
Editeur : Springer
Parution : 2016-06-02
Collection : SpringerBriefs in Applied Sciences and Technology
Format(s) : ePub
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