Storing and Retrieving Data in a Parallel Distributed Memory System.

Abstract

The storage and retrieval pf patterns in a Hopfield-like Parallel Distributed Memory is investigated experimentally with a view toward increasing its storage capacity. The first two Chapters gives an overview of distributed memories and in particular the Hopfield distributed memory. This is followed by a Chapter which experimentally identifies the basic storage capacity of the original Hopfield memory when using text patterns. this discussion then experimentally investigates new and untested methods to increase the storage capabilities of a Hopfield-like neural net. Increasing the storage capacity by using the continuous-valved Hopfield memory is explored in Chapter 3 and the impact on capacity of data representation is experimentally investigated in Chapter 4. We than focus on new ways of storing data (changing the interconnect strengths) including in Chapter 7 developing a new method called Modifying the Energy Contour or MEC. In addition, this Chapter also outlines how to increase error-tolerance through the use of noisy patterns. Keywords: Error correction. (kr)

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Document Details

Document Type
Technical Report
Publication Date
Jun 24, 1988
Accession Number
ADA195631

Entities

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  • Terry W. Potter

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  • Brown University

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  • Energy and Power Technologies
  • Human Systems

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  • Computer Science
  • Computers
  • Content Addressable Memory
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  • Computer Networking
  • Neural Network Machine Learning.
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