Doctoral Dissertations

Title

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 leaves

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

Library of Congress 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.

http://laurel.lso.missouri.edu/record=b5120284~S5

This document is currently not available here.

Share My Dissertation If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.

Share

 
COinS