書誌事項

Automated knowledge acquisition

Sabrina Sestito, Tharam S. Dillon ; developed and edited by Knowledge Systems Research Pty Ltd

(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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