DocumentCode
1638129
Title
A neural network for temporal pattern recognition
Author
Yeap, T.H. ; Zaky, S.G. ; Tsotsos, J.K. ; Kwan, H.C.
Author_Institution
Dept. of Electr. Eng. Comput. Sci. & Physiol., Toronto Univ., Ont., Canada
fYear
1989
Firstpage
778
Abstract
A neural network that can be trained to recognize a sequence of events in time is presented. It utilizes a process of temporal integration, which is implemented by providing each node with a fading memory and the use of a special interconnect pattern. A simulation model for a motion detector based on the proposed network was implemented. It can be trained to distinguish between several speeds of a moving pattern of random dots
Keywords
learning systems; neural nets; pattern recognition; fading memory; making pattern speed distinguishing; motion detector; neural network; random dot pattern; recognition training; sequence of events; simulation model; special interconnect pattern; temporal integration; temporal pattern recognition; Computer science; Fading; Motion detection; Neural networks; Parallel machines; Pattern recognition; Physiology; Signal processing; Speech processing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location
Portland, OR
Type
conf
DOI
10.1109/ISCAS.1989.100466
Filename
100466
Link To Document