PROBABILITY PROBLEM ABOUT INSTRUCTION OF AUTOMATA TO DISTINGUISH CLASSES AND THE METHOD OF POTENTIAL FUNCTIONS,

Abstract

There is given a probability formulation of the problem of instruction of automata to separate input situations into two classes. An account is given of an algorithm based on the method of potential functions which makes it possible to construct a function which approximates the degree of certainty that the situation arising at the input of the automation belongs to one class or the other. A theorem is proven concerning the convergence (in probability) of the function set up by the algorithm to this degree of certainty. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 27, 1965
Accession Number
AD0626976

Entities

People

  • E. M. Braverman
  • L. I. Rozonoer
  • M. A. Aizerman

Organizations

  • National Air and Space Intelligence Center

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Automata
  • Automation
  • Convergence
  • Instructions
  • Machines
  • Probability

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.