Nonnumeric Pattern Classifiers

Abstract

Theoretical study was performed to determine if artificial neural systems can be used to generalize rules from examples. A method for generating rules from a multilayer network was investigated. When the network was presented with few training patterns, the rules derived from the network classified all patterns correctly. The generalization capabilities of the Pao-flu and neural network classifiers were compared with each other and with the ID3 method. Classifiers were compared by applying all methods to several data sets and examining the similarities and differences among them. It was demonstrated that the neural network could act as a rule generator for an expert system. The tests have shown that the network can correctly generate rules and subsequently correctly classify patterns.... Artificial neural networks, Pattern classifiers, Expert systems, Machine learning.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA259438

Entities

People

  • A. Farsaie
  • D. Valdez
  • L. R. Elkins

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Artificial Intelligence Software
  • Coding
  • Cognition
  • Computer Programming
  • Computers
  • Computing System Architectures
  • Data Sets
  • Engineering
  • Expert Systems
  • Information Systems
  • Learning
  • Machine Learning
  • Network Architecture
  • Neural Networks
  • Pattern Recognition
  • Recognition

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks