DocumentCode
393464
Title
A study of neural network based on quaternion
Author
Kusakabe, T. ; Isokawa, T. ; Kouda, Noriaki ; Matsui, Nobuyuki
Author_Institution
Graduate Sch. of Eng., Himeji Inst. of Technol., Hyogo, Japan
Volume
2
fYear
2002
fDate
5-7 Aug. 2002
Firstpage
736
Abstract
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.
Keywords
learning (artificial intelligence); neural nets; nonlinear functions; atfine transformation; geometrical transformations; learning; learning atfine transformation; nonlinear function; quaternion neural network; quaternion neuron; Computational modeling; Indium phosphide; Intrusion detection; Lungs; Neural networks; Neurons; Quaternions; Robots;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN
0-7803-7631-5
Type
conf
DOI
10.1109/SICE.2002.1195247
Filename
1195247
Link To Document