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"TiPo" - a "Timed pointer" neural net model with superior evolvabilities for implementation in a second-generation brain-building machine BM2

J. Dinerstein, Hugo de Garis

发表年份
2003
引用次数
3

摘要

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.

关键词

Pointer (user interface)Computer scienceArtificial neural networkComputabilityRobotArtificial intelligenceAlgorithm

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