Doctoral Dissertations
Keywords and Phrases
Spiking neurons
Abstract
"The culmination of this dissertation is to emulate nature's design strategy in the evolution of neural networks. Specifically it is postulated that in order to capture the effectiveness of this mechanism (and avoid the commonly reported pitfalls or limitations), biologically inspired deviations from the general practice for evolving neural networks must be incorporated into the system."--Abstract, page iii.
Advisor(s)
Cihan Dagli
Committee Member(s)
David Enke
Daniel St. Clair
Can Saygin
Ralph Wilkerson
Department(s)
Engineering Management and Systems Engineering
Degree Name
Ph. D. in Engineering Management
Publisher
University of Missouri--Rolla
Publication Date
Spring 2003
Pagination
xxiii, 293 pages
Note about bibliography
Includes bibliographical references (pages 275-292).
Rights
© 2003 Amber Diane Fischer, All rights reserved.
Document Type
Dissertation - Restricted Access
File Type
text
Language
English
Subject Headings
Genetic algorithms
Neural networks (Neurobiology)
Brain -- Growth
Thesis Number
T 8351
Print OCLC #
56391193
Recommended Citation
Fischer, Amber D., "Evolvability in the phylogeny of the ontogenesis of artificial networks of spiking neurons" (2003). Doctoral Dissertations. 1522.
https://scholarsmine.mst.edu/doctoral_dissertations/1522
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