Back to results

University of Missouri--Rolla

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

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Ph. D. in Engineering Management
Grantor
University of Missouri--Rolla
Year dc:date.available
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lee, Hsi-Chieh

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarsmine.mst.edu:doctoral_dissertations-2478

Chain of custody

source
Harvested from
Missouri University of Science and Technology
Base URL
scholarsmine.mst.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Lee, Hsi-Chieh. SimNet: a neural network architecture for pattern recognition and data mining. University of Missouri--Rolla, 2016. https://scholarsmine.mst.edu/doctoral_dissertations/1476