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Hierarchical artificial neural network architecture

R.K. Speer, Wayne Moore

Year
2002
Citations
4

Abstract

This paper presents a hierarchical artificial neural network (HANN) architecture which is shown to be superior to the traditional three layer feedforward neural network for the neurocontrol of mobile robots in terms of robustness and adaptability with implications for application areas other than robotics.

Keywords

Artificial neural networkComputer scienceAdaptabilityArtificial intelligenceRobustness (evolution)Time delay neural networkMobile robotArchitectureNervous system network modelsFeedforward neural network

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