募捐 9月15日2024 – 10月1日2024 关于筹款

Artificial Intelligence for Cognitive Modeling: Theory and...

Artificial Intelligence for Cognitive Modeling: Theory and Practice

Pijush Dutta, Souvik Pal, Asok Kumar, Korhan Cengiz
0 / 5.0
0 comments
你有多喜欢这本书?
下载文件的质量如何?
下载该书,以评价其质量
下载文件的质量如何?
This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model.

Features:

- A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB)

- A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS)

- Formulation of the nonlinear model like analysis of ANOVA and response surface methodology

- Variety of solved problems on ANOVA and RSM

- Case studies of above mentioned intelligent techniques on the different process control systems

This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

年:
2023
语言:
english
页:
295
ISBN 10:
1003216005
ISBN 13:
9783222320323
文件:
PDF, 26.59 MB
IPFS:
CID , CID Blake2b
english, 2023
线上阅读
正在转换
转换为 失败

关键词