Feedforward Neural Network Methodology by Terrence L Fine: Springer
Feedforward Neural Network Methodology by Terrence L Fine: Springer
USD 29.99 USD
Specifications
| Pages | 340 |
| Publication Date | 1999-06-11 |
| ISBN | 9780387987453 |
| Publisher | Springer New York |
| Item Length | 9.3 in |
| Publication Year | 1999 |
| Type | Textbook |
| Format | Hardcover |
| Language | English |
| Item Height | 0.3 in |
| Author | Terrence L. Fine |
| Item Weight | 25.8 Oz |
| Item Width | 6.1 in |
| Number Of Pages | Xvi, 340 Pages |
"Feedforward Neural Network Methodology" by Terrence L Fine is a comprehensive textbook published by Springer New York in 1999. This book covers various subjects related to feedforward neural networks, including probability, statistics, AI, and physics. With 340 pages, this hardcover book provides detailed information on the topic, making it a valuable resource for students and professionals in the field. Written in English, it is a part of the Information Science and Statistics Series, offering a thorough exploration of the fundamentals and practices of feedforward neural networks.
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