Neural control based on RBF network implemented on FPGA

Author

Brassai, S.T. ; Bako, L. ; Pana, Gh ; Dan, S.

Author_Institution

Dept. of Electr. Eng., Sapientia - Hungarian Univ. of Transylvania, Tg-Mures

fYear

2008

fDate

22-24 May 2008

Firstpage

41

Lastpage

46

Abstract

The RBF radial basis function network is intended especially for hardware implementation and this type of network is used successfully in the areas of robotics and control, where the real time capabilities of the network are of particular importance. The implementation of neural networks on FPGA has several benefits, with emphasis on parallelism and the real time capabilities. This paper discusses the hardware implementation of the RBF type neural network, the architecture and parameters and the functional modules of the hardware implemented neuro-processor.

Keywords

field programmable gate arrays; neural chips; radial basis function networks; FPGA; RBF network; neural control; neural network; neuroprocessor; radial basis function network; real time capability; Algorithm design and analysis; Analog computers; Concurrent computing; Field programmable gate arrays; Logic devices; Neural network hardware; Neural networks; Radial basis function networks; Robustness; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Optimization of Electrical and Electronic Equipment, 2008. OPTIM 2008. 11th International Conference on

Conference_Location

Brasov

Print_ISBN

978-1-4244-1544-1

Electronic_ISBN

978-1-4244-1545-8

Type

conf

DOI

10.1109/OPTIM.2008.4602496

Filename

4602496