Doctoral Dissertations
Evolving neural networks in classification
Abstract
"This research is to develop a biologically inspired hybrid intelligent system - evolving neural networks - that can be used in data mining, especially in classification problems. This hybrid system employs computational intelligence methodologies, such as neural networks and genetic algorithms."--Abstract, page iii.
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Summer 2003
Pagination
xi, 200 pages
Note about bibliography
Includes bibliographical references (pages 189-199).
Rights
© 2003 Sunghwan Sohn, All rights reserved.
Document Type
Dissertation - Citation
File Type
text
Language
English
Subject Headings
Neural networks (Computer science)Neural transmission -- Mathematical modelsGenetic algorithmsData miningPattern recognition systems
Thesis Number
T 8352
Print OCLC #
56391409
Recommended Citation
Sohn, Sunghwan, "Evolving neural networks in classification" (2003). Doctoral Dissertations. 1523.
https://scholarsmine.mst.edu/doctoral_dissertations/1523
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