Mohamad Hassoun is Professor in the Department of Electrical and Computer Engineering at Wayne State University.
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3.0 out of 5 starsMath Fundamentals of Neural Nets.
28 February 2000 - Published on Amazon.com
Prof. Hassoum's book is very good to introduce the reader in the mathematics of Artificial Neural Nets (ANN), including an interesting item explaining how to integrate Genetic Algorithms (GA) with Artificial Neural Networks (ANN) not found in this kind of work. Nevertheless, this is not a book for computing professionals because its necessary one to have a solid background on math to understand the ANN concepts along the chapters. Well written for mathematicians, it lacks pratical examples for better understanding the concepts explained in the book.
5.0 out of 5 starsA Unified Theory of Neural Networks
16 February 2000 - Published on Amazon.com
Prof. Hassoun's book is almost the most complete book that builds a clear and broad foundation of neural networks. His unified approach to cast the problems of neural networks in a mathematical optimization models is excellent. The book is full of challenging and drill-like problems. The references cited blasts the door before the reader's eyes to explore worlds of applications. Prof. Hassoun's contribution to the field of Neural Networks is remarkable. After more than three years of taking two graduate courses using this book (and being lectured by Prof. Hassoun), I can hardly forget any detail. A excellent book which ideas get inscribed in your head. In a few word, The Bible of Neural Networks ...
5.0 out of 5 starsAn Excellent Neural Networks Reference
17 June 2008 - Published on Amazon.com
I bought this book a while ago, and I must say that it has been a source of immense help in deepening my understanding of neural networks. Yes, if you buy this, you will clearly realize that it has 'severe' amounts of math on every page, but again, if you can figure the math out, other aspects of the book (especially coverage) generally make it worth the deal.
I feel it is a very good book over-all for Neural Networks. It is one of the very few books that I came across with an excellent description of Time Delay Neural Networks (TDNN) and the associated learning algorithms.