Modular learning in neural networks : a modularized approach to neural network classification
著者
書誌事項
Modular learning in neural networks : a modularized approach to neural network classification
（Sixth-generation computer technology series）
Wiley, c1992
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注記
"A Wiley-interscience publication"
Includes index
内容説明・目次
内容説明
The author attempts to depart from conventional thinking by viewing neural networks as structured systems instead of monoliths. He presents various ways in which the understanding of neural networks can be broken down into relatively independent parts, providing intermediary solution stages.
目次
- NEURAL NETWORKS
- Introduction to Neural Networks
- Structure of the Brain
- MODULAR LEARNING
- Decomposition of Learning Into Unsupervised and Supervised Learning
- Supporting Supervised Learning by Feature Extraction
- Supporting Supervised Learning by Quantization
- Finding Optimal Features for a Given Task
- Decomposition of the Represented Mapping
- Decomposing the Network to Minimize Interactions
- Modularizing the Application Task
- Decomposing Network Construction Into Knowledge-Based and Learning Parts
- Conclusions
- References
- Index.
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