DocumentCode
390416
Title
The implement and application of DBF neural networks
Author
Wenming, Cao ; Hao, Feng ; Shoujue, Wang
Author_Institution
Inst. of Intelligent Inf. Syst., Zhengjiang Univ. of Technol., Hangzhou, China
Volume
1
fYear
2002
fDate
26-30 Aug. 2002
Firstpage
66
Abstract
On the basis of DBF (direction basis function) nets proposed by Wang Shoujue et al. (see Proc. JCIS98, vol.IV, p.199-202, 1998), the model and implementation of a DBF neural network are discussed. When applied in pattern recognition, the algorithm and hardware implementation are presented. Compared with the traditional RBF, DBF neural networks are shown to offer advantages in accuracy, high speed and easy hardware implementation.
Keywords
feedforward neural nets; pattern recognition; DBF neural networks; RBF neural networks; control systems; direction basis function nets; feedforward neural networks; image processing; pattern recognition; radial basis function neural networks; Computer aided analysis; Computer networks; Control systems; Feedforward neural networks; Kernel; Neural network hardware; Neural networks; Neurons; Pattern classification; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 2002 6th International Conference on
Print_ISBN
0-7803-7488-6
Type
conf
DOI
10.1109/ICOSP.2002.1180985
Filename
1180985
Link To Document