DocumentCode
3782944
Title
VLSI implementation of GRBF (Gaussian radial basis function) networks
Author
I.C. Cevikhas;A.S. Ogrenci;G. Dundar;S. Balkur
Author_Institution
Res. Center, TUBITAK, Marmara, Turkey
Volume
3
fYear
2000
Firstpage
646
Abstract
A GRBF network is designed for VLSI implementation. Building blocks of the network consist mainly of analog circuits: op amp, multiplier, multiplying DAC (digital to analog converter), floating resistor, summer and exponentiator. Parameters of the network (center, width of the Gaussian function and output layer weights) are represented digitally for convenient interfacing. It is shown that individual GRBF units allow independent tuning of center, width and amplitude. Several network structures are simulated as function approximation examples, and the performance is verified to be satisfactory.
Keywords
"Very large scale integration","Neural networks","Computer networks","Adders","Function approximation","Neural network hardware","Tuned circuits","Councils","Electronic mail","Design engineering"
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.856143
Filename
856143
Link To Document