SimNet: a neural network architecture for pattern recognition and data mining
"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.
Engineering Management and Systems Engineering
Ph. D. in Engineering Management
University of Missouri--Rolla
xi, 154 pages
© 2003 Hsi-Chieh Lee, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Neural networks (Computer science)
Pattern recognition systems
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Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.http://laurel.lso.missouri.edu/record=b5037920~S5
Lee, Hsi-Chieh, "SimNet: a neural network architecture for pattern recognition and data mining" (2003). Doctoral Dissertations. 1476.