Feedforward Neural Network Methodology
The decade prior to publication has seen an explosive growth in com- tational speed and memory and a rapid enrichment in our understa- ing of arti?cial neural networks. These two factors have cooperated to at last provide systems engineers and statisticians with a working, prac- cal, and successful...
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| Format: | Electronic eBook |
| Language: | English |
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New York, NY :
Springer New York,
1999.
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| Series: | Information Science and Statistics,
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| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Objectives, Motivation, Background, and Organization
- Perceptions—Networks with a Single Node
- Feedforward Networks I: Generalities and LTU Nodes
- Feedforward Networks II: Real-Valued Nodes
- Algorithms for Designing Feedforward Networks
- Architecture Selection and Penalty Terms
- Generalization and Learning.