Comparison of two inductive learning methods A case study in failed fuel identification.

Comparison of two inductive learning methods [electronic resource] : A case study in failed fuel identification.

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Two inductive learning methods, the ID3 and Rg algorithms, are studied as a means for systematically and automatically constructing the knowledge base of expert systems. Both inductive learning methods are general-purpose and use information entropy as a discriminatory measure in order to group obje...

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Bibliographic Details
Online Access: Online Access
Corporate Author: Argonne National Laboratory (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C. : Oak Ridge, Tenn. : United States. Dept. of Defense ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 1992.
Subjects:
Learning.
Algorithms.
Mathematical Logic.
Expert Systems.
Failures.
Comparative Evaluations.
Knowledge Base.
Reactor Components.
Evaluation.
Fuel Elements.
General And Miscellaneous//mathematics, Computing, And Information Science.

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Call Number: E 1.99: conf-920538--16
E 1.99: conf-920538--16 Available

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