Title :
Reconfigurable architecture for probabilistic neural network system
Author :
Mizuno, Ryosuke ; Aibe, Noriyuki ; Yasunaga, Moritoshi ; Yoshihara, Ikuo
Author_Institution :
Syst. & Inf. Eng., Tsukuba Univ., Japan
Abstract :
Reconfigurable architecture for the probabilistic neural network (PNN) is proposed and the PNN hardware system is developed using FPGAs. In the system, preprocessing circuits as well as the PNN can be reconfigured adapting each task. Potential performance of the PNN cannot be brought out until the total reconfigurability including the preprocessing is achieved. The developed system shows high recognition accuracy with high processing speed for some image recognition tasks.
Keywords :
field programmable gate arrays; image recognition; neural nets; probabilistic logic; program processors; reconfigurable architectures; FPGA; PNN; PNN hardware system; field programmable gate arrays; image recognition; preprocessing circuits; probabilistic neural network; reconfigurable architecture; Counting circuits; Field programmable gate arrays; Image recognition; Kernel; Neural network hardware; Neural networks; Neurons; Reconfigurable architectures; Registers; Systems engineering and theory;
Conference_Titel :
Field-Programmable Technology (FPT), 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-8320-6
DOI :
10.1109/FPT.2003.1275778
