EVALUATION OF TWO METHODS FOR INSTRUCTING A CLASSIFIER,

Abstract

One of the problems in creating learning recognition systems is selecting a method of instruction which will assure maximum accuracy of recognition at the highest rate of convergence of the instruction process. Two methods of instructing a classifier are compared: the method used in the Adaline system and an instruction system in which the method of stochastic approximation is used. Accuracy of recognition and the convergence rate of the instruction process were selected as criteria for evaluating the quality of instruction. (Author)

Document Details

Document Type
Technical Report
Publication Date
Sep 18, 1969
Accession Number
AD0700806

Entities

People

  • L. A. Tyalksnis
  • V. Yu. Chyarnyauskas

Organizations

  • National Air and Space Intelligence Center

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Convergence
  • Instructions
  • Learning
  • Machine Learning
  • Recognition
  • Test And Evaluation

Fields of Study

  • Computer science
  • Education

Readers

  • Artificial Intelligence
  • Neural Network Machine Learning.
  • Systems Analysis and Design