Use of autoassociative neural networks for sensor diagnostics
The new approach for sensor diagnostics is presented. The approach, Enhanced Autoassociative Neural Networks (E-AANN), adds enhancement to Autoassociative Neural Networks (AANN) developed by Kramer in 1992. This enhancement allows AANN to identify faulty sensors. E-AANN uses a secondary optimization...
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Format: | Others |
Language: | en_US |
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Texas A&M University
2005
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Online Access: | http://hdl.handle.net/1969.1/1392 |