BSB Radar Pulse Classification

Abstract

The Brain-State-in-a-Box (BSB) neural network is an auto- associative network. It is able to associate vectors with other vectors. Auto-association results in a system that has been learned to respond strongly to each input vector of a certain set of input vectors by returning this same vector multiplied by its recollection strength, where vectors are bounded by the box. This gives the possibility for convergence to one vector of the learned set of vectors if the actual input vector is not known to the system. When radar signals are translated into vectors, the BSB network can be used to for radar pulse classification. The whole process of classification together with the relation with other non-neural algorithms is shown. Keywords: Netherlands, Translations.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1990
Accession Number
ADA226472

Entities

People

  • A. M. Van Wezenbeek
  • P. P. Meiler

Organizations

  • Netherlands Organisation for Applied Scientific Research

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Algebra
  • Algorithms
  • Clustering
  • Computer Programming
  • Eigenvalues
  • Eigenvectors
  • Electronics
  • Electronics Laboratories
  • Linear Algebra
  • Neural Networks
  • Parallel Computing
  • Pattern Recognition
  • Radar Pulses
  • Radar Signals
  • Three Dimensional
  • Two Dimensional

Readers

  • Control Systems Engineering.
  • Neural Network Machine Learning.
  • Radar Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks