Neural networks in computer intelligence
著者
書誌事項
Neural networks in computer intelligence
（McGraw-Hill computer science series）
McGraw-Hill, 1994
International ed.
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注記
Includes index
内容説明・目次
内容説明
This text provides basic concepts, algorithms and analysis of neural network models, with emphasis on the importance of knowledge in intelligent system design. It bridges the gap between artificial intelligence annd neural networks. The text provides a unified perspective, which could be used to integrate intelligence technologies.
目次
- Introduction
- Basic Neural Computational Models
- Learning: Supervised and Unsupervised
- Knowledge-Based Neural Networks
- Incremental Learning
- Discovery
- Structures and Sequences
- Learning Grammars
- Learning Spatiotemporal Patterns
- Complex Domains
- Mathematical Modelling
- Causal Learning and Modelling
- Expert Systems
- Validation and Verification
- Rule Generation from Neural Networks
- Flow Cytometric Analysis of Leukemia
- Genetic Pattern Recognition
- Drug Discovery
- The Knowledgetron
- Program
- Index.
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