DocumentCode
3315117
Title
A probabilistic neural network for spatiotemporal pattern recognition
Author
Wu, Quen-Zong ; Liu, Ron-Yi ; Jeng, Bor-Shenn ; Tsai, Yuang-Chang ; Huang, Su-Shun
Author_Institution
Telecommun. Lab., Chung-Li, Taiwan
fYear
1992
fDate
17-19 Sep 1992
Firstpage
32
Lastpage
35
Abstract
A spatiotemporal probabilistic neural network (SPNN) is proposed for spatiotemporal pattern recognition. Speaker-independent isolated Mandarin digit recognition is used as an example of spatiotemporal pattern recognition. The simulation result shows that SPNN can work quite well for spatiotemporal pattern recognition. The simplicity and effectiveness of SPNN make it suitable for the applications of speech recognition, radar, sonar, etc
Keywords
neural nets; pattern recognition; probabilistic neural network; radar; sonar; spatiotemporal pattern recognition; speaker-independent isolated Mandarin digit recognition; Laboratories; Multi-layer neural network; Multilayer perceptrons; Neural networks; Neurons; Pattern recognition; Smoothing methods; Spatiotemporal phenomena; Speech recognition; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1992., IEEE International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-0734-8
Type
conf
DOI
10.1109/ICSYSE.1992.236949
Filename
236949
Link To Document