Doctoral Dissertations

Title

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

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.

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 leaves

Note about bibliography

Includes bibliographical references (pages 275-292).

Rights

© 2003 Amber Diane Fischer, All rights reserved.

Document Type

Dissertation - Citation

File Type

text

Language

English

Library of Congress Subject Headings

Genetic algorithms
Neural networks (Neurobiology)
Brain -- Growth

Thesis Number

T 8351

Print OCLC #

56391193

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

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