Multilayer Piecewise Linear Networks.

Abstract

Feed-forward layered networks are the simplest neural computers. These networks provide fast compact devices for computing discriminant functions and other mappings applicable to pattern recognition problems. This report treats the problem of weight initialization'/assignment for feed-forward networks with piecewise linear neuron transfer function. Specific transformations are shown to be impossible with a single hidden layer. Techniques are presented for constructing such transformations with two hidden layers. Neural networks, Pattern recognition, Geometry

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA285382

Entities

People

  • W. O. Alltop

Organizations

  • Naval Air Warfare Center Weapons Division

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Computer Programs
  • Computers
  • Geometry
  • Identification
  • Mathematics
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Transfer Functions

Fields of Study

  • Computer science

Readers

  • Graph Algorithms and Convex Optimization.
  • Neural Network Machine Learning.
  • Systems Analysis and Design

Technology Areas

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