Title :
A neural network filter for complex spatio-temporal patterns
Author :
Ma, Jinwen ; Huang, Dezhi
Author_Institution :
Dept of Inf. Sci., Peking Univ., Beijing, China
fDate :
6/24/1905 12:00:00 AM
Abstract :
This paper proposes a four-layer neural network filter for complex spatio-temporal patterns (or sequences). For any given complex spatiotemporal pattern, it can be constructed according to the order of the spatio-temporal pattern. Moreover, it is demonstrated by the simulation results
Keywords :
filtering theory; neural nets; pattern recognition; complex spatio-temporal patterns; complex spatio-temporal sequences; four-layer neural network filter; Computer science; Filtering; Filters; Information science; Laboratories; Neural networks; Paper technology; Pattern recognition; Signal processing algorithms; Working environment noise;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005617
