Fundamentals of Artificial Neural Networks

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Summary: TDNN
Review: 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.

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Summary: Math Fundamentals of Neural Nets.
Review: 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.

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Summary: A Unified Theory of Neural Networks
Review: 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 ...