"Storage capacities and applications of some neural networks." by Chi Kin. Lee

Date of Award

1990

Publication Type

Master Thesis

Degree Name

M.A.Sc.

Department

Electrical and Computer Engineering

Keywords

Engineering, Electronics and Electrical.

Supervisor

Kwan, H. K.

Rights

info:eu-repo/semantics/openAccess

Abstract

In this thesis, the storage capacities of the Bidirectional Associative Memories (BAM) and the Hopfield network and the applications of the multi-layer feed-forward network are studied and presented. There are four sub-topics in this thesis, the first one is the use of ring and cascade architectures in storing temporal or ordered patterns. A comparison of these architectures is presented. The second sub-topic is to use some new methods to increase the storage capacities of the BAM and the Hopfield network. The uses of a modified Hebb rule and multi-threshold values are studied. Comparisons among the Hebb rule, the delta rule and these new methods are also presented. Results show that these new methods can store ten 35-pixel images while the Hebb rule cannot. The third sub-topic is the use of a multi-layer feed-forward network with the back-propagation training to do pulse compression. Results of this approach are presented. Lastly, the use of a multi-layer feed-forward network to do filtering is also studied and the results are presented. Source: Masters Abstracts International, Volume: 30-03, page: 0840. Supervisor: H. K. Kwan. Thesis (M.A.Sc.)--University of Windsor (Canada), 1990.

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