SimNet: a neural network architecture for pattern recognition and data mining

Author

Hsi-Chieh Lee

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 systems
Data mining

Thesis Number

T 8261

Print OCLC #

53965504

Link to Catalog Record

Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.

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