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. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1007/BF02678893 | Artificial Life and Robotics |
Keywords | DocType | Volume |
pattern recognition �9 image processing �9 neural networks �9 pnn �9 evaluation system �9 hardware,Pattern recognition,Image processing,Neural networks,PNN,Evaluation system,Hardware | Journal | 8 |
Issue | ISSN | Citations |
2 | 1614-7456 | 4 |
PageRank | References | Authors |
0.77 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Noriyuki Aibe | 1 | 12 | 4.99 |
Ryosuke Mizuno | 2 | 4 | 0.77 |
Masanori Nakamura | 3 | 4 | 0.77 |
Moritoshi Yasunaga | 4 | 178 | 33.03 |
Ikuo Yoshihara | 5 | 120 | 18.53 |