"TiPo" — A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM2

2002 NASA/DoD Conference on Evolvable Hardware (EH'02) p. 276
"TiPo" — A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM2
Jonathan Dinerstein, Sorenson Media, Inc.
Hugo de Garis, Utah State University

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/EH.2002.1029895
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Abstract
This paper introduces TiPo, a new neural net model with superior evolvabilities. TiPo neural nets can dynamically change their structure with each clock tick. This provides enhanced computability for highly dynamic functions, such as curve following. Curve following is valuable for applications such as robot motion control.
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Citation: Jonathan Dinerstein, Hugo de Garis, ""TiPo" — A "Timed Pointer" Neural Net Model with Superior Evolvabilities for Implementation in a Second-Generation Brain-Building Machine BM2," eh, p. 276, 2002 NASA/DoD Conference on Evolvable Hardware (EH'02), 2002

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