Evolving neural networks in classification

Author

Sunghwan Sohn

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 models
Genetic algorithms
Data mining
Pattern recognition systems

Thesis Number

T 8352

Print OCLC #

56391409

Link to Catalog Record

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

Recommended Citation

Sohn, Sunghwan, "Evolving neural networks in classification" (2003). Doctoral Dissertations. 1523.
https://scholarsmine.mst.edu/doctoral_dissertations/1523