Hierarchical artificial neural network architecture

Robyn Speer ,Wayne Moore

doi:10.1109/ijcnn.1998.687192

Hierarchical artificial neural network architecture

Robyn Speer , Wayne Moore

https://doi.org/10.1109/ijcnn.1998.687192

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Publication Date: May 4, 1998

Citations: 3

Affiliation: Charles Sturt University

#Hierarchical Neural Network Architecture #Hierarchical Artificial Neural Network + Show 8 more

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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.

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