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Please use this identifier to cite or link to this item: http://hdl.handle.net/2014/27779

Title: 64x64 Analog Input Array for 3-Dimensional Neural Network Processor
Authors: Duong, T. A.
Thomas, T.
Daud, T.
Thakoor, A.
Lee, B.
Issue Date: 12-Mar-1997
Citation: Marseille, France
Abstract: In pattern recognition and classification for spatio-temporal problems, one of the most challenging tasks is to provide a good and valid solution in real-time. Because of time constraints, software-based neural network approaches may not be suitable for practical use. Hardware solutions seem to be good candidates for this class of problems. Currently, the Three Dimensional Analog Neural Network (3-DANN) is an effective approach to solving spatio-temporal problems in three-dimensional hardware.
URI: http://hdl.handle.net/2014/27779
Appears in Collections:JPL TRS 1992+

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