Automated knowledge acquisition
著者
書誌事項
Automated knowledge acquisition
(Prentice Hall international series in computer systems science and engineering)
Prentice Hall, c1994
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
This tutorial provides clear explanations of techniques for automated knowledge acquisition. Covers topics such as induction algorithms using decision trees; induction algorithms using progressive rule generation; sub-symbolic learning methods, artificial neural networks; other machine learning paradigms; theoretical considerations; the extraction of rules and concepts using a single-layered Hebbian neural network; BRAINNE - automated knowledge acquisition using multi-layered neural network; and BRAINNE in the real world. For computer professionals who wish to gain a good understanding of automated knowledge acquisition techniques.
目次
- General considerations
- induction algorithms using decision trees
- induction algorithms using progressive rule generation
- sub-symbolic learning methods - artificial neural networks
- other machine learning paradigms
- theoretical considerations
- the extraction of rules and concepts using a single-layered Hebbian neural network
- BRAINNE - automated knowledge acquisition using multi-layered neural network
- BRAINNE in the real world.
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