PATTERN RECOGNITION AND CLASSIFICATION USING ADAPTIVE LINEAR NEURON DEVICES

Abstract

Pattern recognition and classification systems have been under development for several years. This paper examines one of these systems, which has been called an adaptive linear neuron, to determine how the desired classification is achieved and how this system might be used in the practical field of character recognition. Specifically, the following ideas are discussed in this paper: (1) The basic concepts of linear separability and iterative adaption by an adaptive linear neuron (Adaline), as applied to the pattern recognition and classification problem; (2) Four possible iterative adaption schemes which may be used to train as Adaline; (3) Use of Multiple Adalines (Madaline) and two logic layers to increase system capability; and (4) Use of Adaline in the practical fields of Speech Recognition, Weather Forecasting and Adaptive Control Systems and the possible use of Madaline in the Character Recognition field.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1964
Accession Number
AD0483010

Entities

People

  • John P. Mcgahan
  • Marshall J. Treado

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Automated Speech Recognition
  • Character Recognition
  • Classification
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Delphi Method
  • Digital Computers
  • Electronics Laboratories
  • Logic Devices
  • Pattern Recognition
  • Personality
  • Recognition
  • United States
  • Weather Forecasting

Readers

  • Calculus or Mathematical Analysis
  • Instructional Design and Training Evaluation.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms