Performance evaluation system for probabilistic neural network hardware |
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| Authors: | Noriyuki?Aibe Ryosuke?Mizuno Masanori?Nakamura Email author" target="_blank">Moritoshi?YasunagaEmail author Ikuo?Yoshihara |
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| Affiliation: | (1) Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan;(2) Institute of Information Sciences and Electronics, University of Tsukuba, Tsukuba, Ibaraki 305-8573, Japan;(3) Faculty of Engineering, University of Miyazaki, Miyazaki, Japan |
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| Abstract: | The probabilistic neural network (PNN) is one of the most promising neural networks, and is now applied to some real-world applications. In order to speed up the PNN calculation considerably, we have developed a PNN hardware system for video image recognition. The performance of the PNN hardware cannot be evaluated precisely until the evaluation system is completed. In this study, we developed a performance evaluation system for the PNN hardware and demonstrated it using the developed evaluation system.This work was presented, in part, at the 8th International Symposium on Artificial Life and Robotics, Oita, Japan, January 24–26, 2003 |
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| Keywords: | Pattern recognition Image processing Neural networks PNN Evaluation system Hardware |
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