Neural Networks: A Comprehensive Foundation (International Edition) |
| |
|
|
Author:
Simon Haykin
By Pearson Education
Average Customer Rating:  
List Price: £50.99
Our Price: £31.98
|
|
|
|
Binding: Paperback
Dewey Decimal Number: 004
EAN: 9780139083853
ISBN: 0139083855
Label: Pearson Education
Manufacturer: Pearson Education
Number Of Pages: 842
Publication Date: 1998-07-21
Publisher: Pearson Education
Studio: Pearson Education |
|
|
|
Informative and masterfully written., 1998-09-14
A wonderfully well written, insightful, treatment of artificial neural networks. Beginning from the basics, the author sets forth both a technological and historical perspective for the understanding this multidisiplinary subject area. The book is written from a practical engineering perspective and comprehensively spans the entire discipline of modern neural network theory. A+
Great theoretical support book, 2003-09-11
Far from being an in-depth search for neural networks' learning habilities, this book has a wide range of machine learning models' theoretical background. Most usefull to understand the inners of machine learning mathematics.
Comprehensive introduction to Neural Networks, 2001-04-10
This is a mammoth of a book. Each chapter introduces and developes a particular model of neural network. Really useful for related undergraduate university courses. It's taught me all I know!!
Don't use for self study. Often unclear, contains errors., 2005-04-04
This book is fairly mathematically demanding, and when you are tackling such a book you have to rely on the text being accurate. Quite early on, in equation 2.62, there is an error that wasted me two days as I tried to figure out exactly what it was I had missed. I ended up having to refer to the article the material was based on, Geman et al.
From that point on, the clarity of the explanation degraded to the point that I was taking so long understanding it (and with my faith in the accuracy of the information now severely impaired), that I gave up and bought "Introduction to the Theory of Neural Computation", recommended in the comp.ai.neural-nets faq, instead.
The material was not so bad up to that point, and perhaps if you have a tutor to help you when you get stuck it is worth using, but for self-study I would not recommend it. If like me you really want to fully understand the material you will end up wasting a lot of time. If not, there are clearer, simpler books available.
|
