Perceptrons and Pattern Recognition

Abstract

This monograph includes most of the results to date of our analysis of the geometric ability of linear separation machines. We expect soon to publish the complete work as a book: the complete version will contain further results on learning and on some relation between parallel and serial algorithms. Topics include: Algebraic Theory--Theory of Boolean linear separation functions, Group theory of linear predicates, Some special predicates, and The 'And-Or' Theorem; Geometric Theory--Connectivity and topological properties, Geometric patterns of low order, Normalization and stratification, and The Diameter- limited perceptron; and Magnitude of the Coefficients.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1967
Accession Number
ADA078863

Entities

People

  • Marvin L. Minsky
  • Seymour Papert

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algebraic Topology
  • Artificial Intelligence
  • Boundaries
  • Computations
  • Computing Devices
  • Construction
  • Curvature
  • Diameters
  • Geometric Forms
  • Geometry
  • Lines (Geometry)
  • Notation
  • Pattern Recognition
  • Personality
  • Recognition
  • Symbols
  • Two Dimensional

Readers

  • Mathematical Modeling and Probability Theory.
  • Neural Network Machine Learning.

Technology Areas

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