Customer Reviews

Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering (Computational Intelligence)

5 star:		(6)
4 star:		(0)
3 star:		(0)
2 star:		(0)
1 star:		(2)

 

 

The text is clear and very didactic. I think the book is appropriate as a basic text both for graduate and undergraduate courses. I only suggest that the book be complemented with a companion disk or CD, where the concepts and exercises within the book could be worked out.

I don't understand the gap between the two group of reviews ( 5 stars and 1 star). As other reviewer said, this book is just a list of techniques without proper examples and without proper math. I understood a couple because I already knew about them. If I would try to use any of the techniques I couldn't. There is more to an algorithm than half a page of description. Where are the examples, the ups and downs, the math justification ?

The author has performed an excellent job in explaining the fundamental ideas and practical methods of different AI techniques. AI problems in the field ( pattern recognition, speech and image processing, classification, planning, optimization, control, time-series and analogy-based prediction, diagnosis, decision making and game simulations) are discussed and illustrated with examples . Especially useful are the comparisons between different techniques (AI rule ¨Cbased methods, fuzzy methods, connectionist methods, and hybrid systems for knowledge engineering ) used to solve the same or similar problems.

The presented text is suitable for advanced undergraduate and postgraduate students as well as a reference for researchers in the field of knowledge engineering.The book¡¯s appendices summarize data sets for the examples in the book. All data sets are available through anonymous FTP. This makes appendices very useful.

As a conclusion it is necessary to be generalized that the book has this nice property that the different chapters are quite independent and may serve to the readers together with other books ( some of which are listed in the Bibliography) as a guide for different important problems of AI.

I am finishing my degree in environmental engineering at the Politecnico of Milan, Italy. I used this book during a project about adaptive control using neural networks applied to wastewater treatment plant's operation unit. I find it very useful; it is clear and it is possible to find together with the theory practical applications and datasets. In an easy way it shows a mental scheme of artificial intelligence foundations.

I finish my degree in Economics last year. For my thesis I studied and used neural networks and fuzzy neural networks. I used the text book by Kasabov and find it easy to understand, clear and full of examples, data sets and usable software. The book is excellent text for people without prior knowledge in the area. I am still using the book.

This is the worst textbook I've ever read. The author fails to cover the matterial either from a theoretical or a practical engineering point of view. Instead the book seems to be mostly a long listing of facts and terms. It is sort of like a bad survey paper on steroids. It lacks useful examples. Some of the examples that are included consist of things like tables of values without any indication of how these values are used in the context of the problem.

To top it all off, some of the listed 'facts' seem to be just plain wrong. Some of the formulas appear to me to be erroneous. I base this on what seems to be the intent of the formulas in question. It is not possible to say for sure since no examples using these formulas are given. Mistyped formulas are to be expected in any text, however, the author saying of NP-Complete problems that "the NP stands for 'non-polynomial'" is an example of an unacceptable error.

If you read this book, you won't get example C code snippits like other books have. However you will get an excellent understanding of neural networks and fuzzy systems. This book is very well written, and has lots of information! With the information in this book you could write your own code snippits and really understand how it works, rather than just using the code! I highly reccommend this book if you interested in artificial intelligence. It isn't "dry" like some books, and has examples of uses, as well as how well they work!

This book covers the fundamental concepts and methodologies of neural and fuzzy systems providing many significant applications in decision support, data analysis and data mining. It is a good research guide and an excellent teaching material and offers a wide outlook for future research and application directions.