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
Print OCLC #
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.
Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.