Doctoral Dissertations
SimNet: a neural network architecture for pattern recognition and data mining
Abstract
"In this study, a neural network architecture called "SimNet" is designed and implemented. SimNet is built with the following concepts in mind: simulation, simplicity, and simultaneity. It combines the general neural network structure with the subsethood concept of fuzzy logic to produce a rapid data clustering system that works similar to Adaptive Resonance Theory and Self-Organizing Maps."--Introduction, page 1.
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Spring 2003
Pagination
xi, 154 pages
Note about bibliography
Includes bibliographical references (pages 145-153).
Rights
© 2003 Hsi-Chieh Lee, All rights reserved.
Document Type
Dissertation - Citation
File Type
text
Language
English
Subject Headings
Neural networks (Computer science)Pattern recognition systemsData mining
Thesis Number
T 8261
Print OCLC #
53965504
Recommended Citation
Lee, Hsi-Chieh, "SimNet: a neural network architecture for pattern recognition and data mining" (2003). Doctoral Dissertations. 1476.
https://scholarsmine.mst.edu/doctoral_dissertations/1476
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