ADAPTIVE PATTERN DICHOTOMIZATION,

Abstract

The purpose of this research is to make an investigation of the principles governing the ability of an adaptive linear threshold element to 'dichotomize'--i.e., to classify into two categories--patterns consisting of combinations of analog or binary variables. Automatic pattern classification is becoming increasingly important in such fields as object identification from radar or sonar returns; speech recognition and translation; and weather prediction from meteorological data. The research described combines both aspects of earlier work into a unified approach to the adaption of the linear threshold element. (Author)

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1964
Accession Number
AD0443107

Entities

People

  • James S. Koford

Organizations

  • Stanford University

Tags

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Automatic
  • Classification
  • Identification
  • Meteorological Data
  • Meteorological Phenomena
  • Meteorology
  • Recognition
  • Translations
  • Weather
  • Weather Forecasting

Readers

  • Radar Systems Engineering.
  • Speech Processing/Speech Recognition.
  • Systems Analysis and Design

Technology Areas

  • AI & ML