Evolvability in the phylogeny of the ontogenesis of artificial networks of spiking neurons
Keywords and Phrases
"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.
Engineering Management and Systems Engineering
Ph. D. in Engineering Management
University of Missouri--Rolla
xxiii, 293 leaves
© 2003 Amber Diane Fischer, All rights reserved.
Dissertation - Citation
Library of Congress Subject Headings
Neural networks (Neurobiology)
Brain -- Growth
Print OCLC #
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=b5120277~S5
Fischer, Amber D., "Evolvability in the phylogeny of the ontogenesis of artificial networks of spiking neurons" (2003). Doctoral Dissertations. 1522.