Neural Network Algorithms and Their Engineering Applications

Huang, Chao/ Huang, Hailong/ Zhang, Yiying

Morgan Kaufmann Publishers In（2025/01発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 242 p.
• 言語 ENG
• 商品コード 9780443292026
• DDC分類 006.32

Full 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.

Contents

1. Introduction
2. Neural network algorithm
3. Constrained engineering design optimization problems
4. Parameter estimation of proton exchange membrane fuel cell models
5. Parameter extraction of photovoltaic models
6. Discussion on the applications of machine learning methods in neural network algorithm
7. Conclusion