Evolvability in the phylogeny of the ontogenesis of artificial networks of spiking neurons

Publication Year:
2003
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Abstract Views 1
Repository URL:
http://scholarsmine.mst.edu/doctoral_dissertations/1522
Author(s):
Fischer, Amber D.
Publisher(s):
University of Missouri--Rolla
Tags:
Spiking neurons; Operations Research, Systems Engineering and Industrial Engineering
thesis / dissertation description
"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.