{"id":{"repo_id":"must-thes","oai_identifier":"oai:scholarsmine.mst.edu:doctoral_dissertations-2478"},"canonical_url":"https://search.dev.ndltd.org/etd/must-thes/oai:scholarsmine.mst.edu:doctoral_dissertations-2478","repository":{"repo_id":"must-thes","name":"Missouri University of Science and Technology","base_url":"https://scholarsmine.mst.edu/do/oai/"},"display":{"title":"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.","abstract_html":""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.","abstract_has_math":false,"creators":["Lee, Hsi-Chieh"],"institution":"University of Missouri--Rolla","degree_name":"Ph. D. in Engineering Management","degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-02-10T08:00:00Z","date_published":"2016-02-10T08:00:00Z","updated_at":"2026-07-24T03:19:21Z","subjects":["Operations Research, Systems Engineering and Industrial Engineering"],"languages":[],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarsmine.mst.edu/doctoral_dissertations/1476","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Lee, Hsi-Chieh"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2016-02-10T08:00:00Z"]},{"key":"dc:type","label":"Dc Type","values":["Dissertation - Citation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph. D. in Engineering Management"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Missouri--Rolla"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Operations Research, Systems Engineering and Industrial Engineering"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarsmine.mst.edu/doctoral_dissertations/1476"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["\"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."]},{"key":"dc:title","label":"Title","values":["SimNet: a neural network architecture for pattern recognition and data mining"]}]}],"canonical_facts":{"dc:creator":["Lee, Hsi-Chieh"],"dc:date.available":["2016-02-10T08:00:00Z"],"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."],"dc:identifier":["https://scholarsmine.mst.edu/doctoral_dissertations/1476"],"dc:subject":["Operations Research, Systems Engineering and Industrial Engineering"],"dc:title":["SimNet: a neural network architecture for pattern recognition and data mining"],"dc:type":["Dissertation - Citation"],"thesis:degree_name":["Ph. D. in Engineering Management"],"thesis:institution_name":["University of Missouri--Rolla"]},"updated_at":"2026-07-24T03:19:21Z"}