Outer Product Calculations.

Abstract

This report is presented in four sections. In Section 1 an analysis of the effects of noise on associative memories is presented. Special emphasis is given to generalized inverse memories. In Section 2 of this report, several algorithms which are appropriate for implementation on the NRL spatial light modulator were compiled. These include nonlinear associative memory models and a pseudo inverse memory model that is optimum for incomplete input patterns. In section 3 of this report an analysis of a memory model that is optimum in the least squares sense for input patterns with missing components was analyzed. This memory was shown to be derivable from a different optimization principle. This optimization produces that memory which has a minimum average noise output for a given error in recall. In Section 4 of this report we discuss projection techniques and subspace methods. These approaches will allow the design of dynamic memory and recall schemes that are nonlinear, have local connectivity and can be robust against distorted input patterns. Partial contents: Analysis of the effects of noise on generalized inverse and correlation matrix associative memories; Adaptive associative memory models with potential optical implementation; On optimal associative recall from an incomplete input vector; and Projection operators and subspace methods of pattern recognition.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1986
Accession Number
ADA167413

Entities

People

  • John Gruninger

Organizations

  • Aerodyne Research

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Classification
  • Coefficients
  • Computers
  • Content Addressable Memory
  • Covariance
  • Decomposition
  • Eigenvalues
  • Eigenvectors
  • Electron Microscopy
  • Optical Modulators
  • Optimization
  • Pattern Recognition
  • Recognition
  • Regression Analysis
  • Self Organizing Systems

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Optical Physics and Photonics.

Technology Areas

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