Adaptive filtering in complex process systems using recurrent neural networks /
The objective of this research study is to develop a method for adaptive state filtering in complex process systems using recurrent neural networks (NN). Nonlinear and "nonparametric'' adaptive state filtering methods, such as the one developed here, have many applications in industri...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1999.
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| Online Access: | http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=731677991&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
Internet
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| Call Number: |
1999 Dissertation M468 |
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| Call Number | Status | Get It |
| 1999 Dissertation M468 | Available | |
Available Online
| Call Number: |
1999 Dissertation M468 |
|
|---|---|---|
| Call Number | Status | Get It |
| 1999 Dissertation M468 | Available | |