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