Title :
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
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;
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
DOI :
10.1109/OPTIM.2008.4602496
