| Introduction to the Theory of Neural Computation Revised Edition Contributor(s): Hertz, John A. (Author), Krogh, Anders S. (Author), Palmer, Richard G. (Author) |
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ISBN: 0201515601 ISBN-13: 9780201515602 Publisher: CRC Press OUR PRICE: $87.39 Product Type: Paperback - Other Formats Published: June 1991 Annotation: This book is a comprehensive introduction to the neural network models currently under intensive study for computational applications. It is a detailed, logically-developed treatment that covers the theory and uses of collective computational networks, including associative memory, feed forward networks, and unsupervised learning. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest. |
| Additional Information |
| BISAC Categories: - Computers | Intelligence (ai) & Semantics - Technology & Engineering - Computers | Neural Networks |
| Dewey: 006.3 |
| LCCN: 91-701 |
| Series: Santa Fe Institute Studies in the Sciences of Complexity |
| Physical Information: 0.69" H x 6.32" W x 9.14" (1.11 lbs) 350 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest. |