SICE Annual Conference Program and Abstracts
SICE Annual Conference 2002
会議情報

A Study of Neural Network Based on Quaternion
Tomoaki KusakabeTeijiro IsokawaNoriaki KoudaNobuyuki Matsui
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p. 158

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抄録
A quaternion neural network with nonlinear function is presented in this paper. The quaternion neuron adopts geometrical transformations as operators of data to be processed. Back Propagation for the layered network with quaternion neurons is also formulated. The simulation results show that the presented model has the ability in learning affine transformation of 3D figures, while conventional neural network can hardly acquire.
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© 2002 SICE
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