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University of Missouri--Rolla

Evolving neural networks in classification

Abstract

dc:description.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.

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
  • Sohn, Sunghwan

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:scholarsmine.mst.edu:doctoral_dissertations-2525

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

Sohn, Sunghwan. Evolving neural networks in classification. University of Missouri--Rolla, 2016. https://scholarsmine.mst.edu/doctoral_dissertations/1523