dunc@eecg.toronto.edu (Duncan Elliott) (04/28/89)
Electrical Engineering Computer Group
Cider Seminar Series
A Neural Network for Temporal Pattern Recognition
by
Tet Yeap
Electrical Engineering Computer Group
University of Toronto
Time: Tuesday, May 2, 1989, 12:05 --- Place: GB 220
Recent work on neural networks has concentrated on their
ability to store, retrieve and process static patterns.
However, in problems such as motion detection, speech
processing and predictive signal processing, the information
to be processed consists of a sequence of temporally related
patterns. Neural networks that handle only static patterns
are not suited for these problems.
A neural network that can be trained to recognize a
sequence of events in time is presented in this seminar. 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.
Coming Soon
Date Who Topic
May 19 Prof. Wortman, Adventures in Concurrent Compilation
Michael Junkin
--
Duncan Elliott, Dept. EE, University of Toronto, Toronto, Canada M5S 1A5
dunc@eecg.toronto.edu dunc@eecg.utoronto.ca uunet!utai!eecg!dunc
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