eBook webpage (Get a copy): https://dfisp.org/icsd
Format: Adobe Digital Editions
Platform: Windows/Machintosh desktop/laptop/tablet/phone
Description: This eBook gives a comprehensive coverage of intelligent computing and system design including essential topics under neural computing, fuzzy neural computing, and evolutionary computing.
Readership: Senior undergraduate and graduate students, practicing engineers and computing professionals, and anyone interested in the theories, models, learning and evolutionary algorithms, and design methodologies of neural networks, fuzzy systems, and fuzzy neural networks for building intelligent systems.
Free copies: 7-day free Examination copy (plus a free Desk copy when adopted/completed) of any of the dfisp.org eBooks is available by “Contact” us to (a) an instructor of a university interested to adopt the eBook as a required textbook for a course by submitting university name, course title, number of students, term start & end dates; and (b) an individual (instructor, engineer, scientist, and other professionals) interested to write a professional review on the eBook for posting on the eBook webpage and goodreads.com.
More information: The eBook is now available for purchase online for instant delivery. For more information (Preview, Details, Prices, Reviews, Testimonials, Editorial Reviews) about the eBook, please visit the eBook webpage.
For fun: Guess what the neural network shown above can do? Hint: See page TOC-25 of the Preview eBook on the eBook webpage.
Table of Contents
Part I Intelligent Computing and System Design
Chapter 1 Introduction
Part II Neural Computing
Chapter 2 One-Layer Feedforward Neural Networks
Chapter 3 One-Layer Recurrent Neural Networks
Chapter 4 Multi-Layer Neural Networks
Chapter 5 Associative Memories
Chapter 6 Self-Organizing Maps
Chapter 7 Learning Vector Quantization
Chapter 8 Radial Basis Function Networks
Part III Fuzzy Neural Computing
Chapter 9 Fuzzy Sets
Chapter 10 Fuzzy Logic and Reasoning
Chapter 11 Fuzzy Systems
Chapter 12 Fuzzy Neural Networks
Part IV Evolutionary Computing
Chapter 13 Genetic Algorithms
Chapter 14 Differential Evolution
Chapter 15 Particle Swarm Optimization
Chapter 16 Coding, Initialization, and Constraints