Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks

Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
Author :
Publisher : Springer Nature
Total Pages : 112
Release :
ISBN-10 : 9783031477126
ISBN-13 : 303147712X
Rating : 4/5 (26 Downloads)

Book Synopsis Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks by : Fevrier Valdez

Download or read book Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks written by Fevrier Valdez and published by Springer Nature. This book was released on 2023-11-25 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 logic. Within the neural network techniques, competitive neural networks (CNNs) are used, for the optimization algorithms technique, we used the fireworks algorithm (FWA), and in the area of fuzzy logic, the Type-1 Fuzzy Inference Systems (T1FIS) and the Interval Type-2 Fuzzy Inference Systems (IT2FIS) were used, with their variants of Mamdani and Sugeno type, respectively. FWA was adapted for data clustering with the goal to help of competitive neural network to find the optimal number of neurons. It is important to mention that two variants were applied to the FWA: dynamically adjust of parameters with Type-1 Fuzzy Logic (FFWA) as the first one and Interval Type-2 (F2FWA) as the second one. Subsequently, based on the outputs of the CNN and with the goal of classification data, we designed Type-1 and Interval Type-2 Fuzzy Inference Systems of Mamdani and Sugeno type. This book is intended to be a reference for scientists and engineers interested in applying a different metaheuristic or an artificial neural network in order to solve optimization and applied fuzzy logic techniques for solving problems in clustering and classification data. This book is also used as a reference for graduate courses like the following: soft computing, swarm optimization algorithms, clustering data, fuzzy classify and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, new techniques of optimization or to continue the lines of the research proposed by the authors of the book.


Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks Related Books

Hybrid Competitive Learning Method Using the Fireworks Algorithm and Artificial Neural Networks
Language: en
Pages: 112
Authors: Fevrier Valdez
Categories: Technology & Engineering
Type: BOOK - Published: 2023-11-25 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book focuses on the fields of neural networks, swarm optimization algorithms, clustering and fuzzy logic. This book describes a hybrid method with three di
Advances in Hybridization of Intelligent Methods
Language: en
Pages: 155
Authors: Ioannis Hatzilygeroudis
Categories: Technology & Engineering
Type: BOOK - Published: 2017-10-13 - Publisher: Springer

DOWNLOAD EBOOK

This book presents recent research on the hybridization of intelligent methods, which refers to combining methods to solve complex problems. It discusses hybrid
Applications of Flower Pollination Algorithm and its Variants
Language: en
Pages: 239
Authors: Nilanjan Dey
Categories: Technology & Engineering
Type: BOOK - Published: 2021-03-17 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book presents essential concepts of traditional Flower Pollination Algorithm (FPA) and its recent variants and also its application to find optimal solutio
Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine
Language: en
Pages: 354
Authors: Oscar Castillo
Categories: Technology & Engineering
Type: BOOK - Published: 2019-11-23 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book describes the latest advances in fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations, and their application
Nature-Inspired Design of Hybrid Intelligent Systems
Language: en
Pages: 817
Authors: Patricia Melin
Categories: Technology & Engineering
Type: BOOK - Published: 2016-12-08 - Publisher: Springer

DOWNLOAD EBOOK

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as in