Neural networks in computer intelligence
Author(s)
Bibliographic Information
Neural networks in computer intelligence
（McGraw-Hill computer science series）
McGraw-Hill, 1994
International ed.
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Includes index
Description and Table of Contents
Description
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.
Table of Contents
- 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.
by "Nielsen BookData"