Customer Reviews

Neural Networks and Fuzzy Systems: A Dynamical Systems Approach to Machine Intelligence/Book and Disk

5 star:		(2)
4 star:		(0)
3 star:		(0)
2 star:		(0)
1 star:		(0)

 

 

Bart's is legendary known for his contribution to Neural networks and Fuzzy logic. This book though very good, is an advanced level book preferably for a graduate student. Thorough knowledge of Signal analysis and probability would be needed for most part of the book. Advantages of the book is it is, if not the deepest book, on Neural networks and Fuzzy logic, it will surely count as one of the most finest book dealing in the subjects.
Disadvantages: I dont know the reason why Bart has included so many theorem proving solutions like proving why BAM(Bilinear Associative memory) works. Though i commend that he has done a fine work with proving the stability of many learning algorithms. I wont recommend this book to a newbie if opting for Neural networks. Introduction to Neural Networks by Zurada ASIN-0314933913 is better off in teaching all the different Algorithms in depth.

This book earns a 5 star from me because of the indepth coverage it has on the subjects.

This book develops both the theories from the basics. It wonderfully describes the various theories and architectures logically developing the ideas. It has a practical approach and a generalised view without any sort of bias on computer programming alone. Professor Kosko also mathematically describes the underlying mechanism of both neural and fuzzy system. The interdisciplinary examples from various fields show how machine intelligence can be used as proper alternative approaches effectively. I recomend every Electrical and computer engg. to read the book eventhough he/she does not work in the area of m/c intelligence. A must for people in M/C intelligence.