A Pattern Recognition Approach to Understanding the Multi-Layer Perceptron.

Abstract

This memorandum is concerned with the operation of a class of multi-layer associative networks commonly known as the multi-layer perceptron (MLP), Rumelhart network or back-propagation network. We describe the operation of the MLP as a pattern recognition device in terms of a feature-space representation. This allows an understanding of how structure in the training data is represented internally in the machine.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1986
Accession Number
ADA174308

Entities

People

  • I. D. Longstaff
  • J. F. Cross

Organizations

  • Royal Signals and Radar Establishment

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Cartesian Coordinates
  • Classification
  • Coordinate Systems
  • Data Sets
  • Education
  • Foreign Languages
  • Identification
  • Knowledge Based Systems
  • Language
  • Machine Learning
  • Neural Networks
  • New York
  • Pattern Recognition
  • Recognition
  • Training

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Translation
  • AI & ML - Neural Networks
  • Space
  • Space - Hall-Effect Thruster