Neural Network Algorithms and Their Engineering Applications-finelybook

Neural Network Algorithms and Their Engineering Applications

Author: Chao Huang Ph.D. , Hailong Huang Ph.D. , Yiying Zhang PhD

Publisher finelybook 出版社:‏ ‎ Morgan Kaufmann

Edition 版本:‏ 1st edition

Publication Date 出版日期:‏ 2025-01-28

Language 语言: English

Print Length 页数: 242 pages

ISBN-10: 0443292027

ISBN-13: 9780443292026

Book Description

Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book provides readers with a complete study of how to use artificial neural networks to design a population-based metaheuristic algorithm, which in turn promotes the application of artificial neural networks in the field of engineering optimization.

The authors provide a deep discussion for the potential application of machine learning methods in improving the optimization performance of the neural network algorithm, helping readers understand how to use machine learning methods to design improved versions of the algorithm. Users will find a wealth of source code that covers all applied algorithms. Code applications enhance readers’ understanding of methods covered and facilitate readers’ ability to apply the algorithms to their own research and development projects.

Provides a comprehensive understanding of the development of metaheuristics, helping readers grasp the principle of employing artificial neural networks to design a population-based metaheuristic algorithm
Shows readers how to overcome the challenges faced in applying neural network algorithms to complex engineering optimization problems with multimodal properties
Demonstrates how to design new variants of neural network algorithms and how to apply machine learning methods to neural network algorithms
Covers source code to help readers solve engineering optimization problems
Shows readers how to develop the offered source code to create innovative solutions to their problems

Review

Complete guide to the latest advances in artificial neural network algorithms and their application across a wide range of engineering research

From the Back Cover

Optimization problems exist in nearly every engineering field. Neural Network Algorithms and Their Engineering Applications presents the relevant techniques used to improve the global search ability of neural network algorithms in solving complex engineering problems with multimodal properties. The book provides readers with a complete study of how to use artificial neural networks to design a population-based metaheuristic algorithm, which in turn promotes the application of artificial neural networks in the field of engineering optimization. The authors provide a deep discussion for the potential application of machine learning methods in improving the optimization performance of the neural network algorithm, helping readers understand how to use machine learning methods to design improved versions of the algorithm. The book provides readers with a wealth of source code covering all the applied algorithms. The code applications enhance readers’ understanding of the methods covered in the book and also facilitate readers’ ability to apply the algorithms to their own research and development projects.

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Neural Network Algorithms and Their Engineering Applications