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Title: Storing and retrieving data in a parallel distributed memory system

Thesis/Dissertation ·
OSTI ID:6963960

The storage and retrieval of patterns in a Hopfield parallel distributed memory is investigated experimentally with a view toward increasing its storage capacity. The first two Chapters give 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 test patterns. The author then experimentally investigates new and untested methods to increase the storage capabilities of a Hopfield memory. Increasing the storage capacity by using the continuous-valued Hopfield memory is explored in Chapter 3 and the impact on capacity of data representation is experimentally investigated in Chapter 4. New ways of storing data (changing the interconnect strengths) are discussed in Chapter 7 developing a new method called Modifying the Energy Contour-MEC. In addition, this Chapter also outlines how to increase error-tolerance through the use of noisy patterns. The Hopfield memory is then contrasted to another intelligent memory subsystem based on more of a traditional computer technology. In Chapter 8 it is seen that traditional computer technology using data-parallel techniques has a greater storage efficiency than possible with current Hopfield distributed memories. The design of this data-parallel memory is based in part on what is learned experimentally from the preceding Chapters on the Hopfield memory.

Research Organization:
State Univ. of New York, Binghamton (USA)
OSTI ID:
6963960
Resource Relation:
Other Information: Thesis (Ph. D.)
Country of Publication:
United States
Language:
English