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Reconfigurable architecture for probabilistic neural network system

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4 Author(s)
R. Mizuno ; Syst. & Inf. Eng., Tsukuba Univ., Japan ; N. Aibe ; M. Yasunaga ; I. Yoshihara

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.

Published in:

Field-Programmable Technology (FPT), 2003. Proceedings. 2003 IEEE International Conference on

Date of Conference:

15-17 Dec. 2003