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
大学図書館所蔵 件 / 全16件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
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.
「Nielsen BookData」 より