On adaptive radial basis function neural networks for the forecasting of time series processes /
A feedforward neural model, the radial basis functions (RBF) network, was utilized to forecast process parameter values from a time series process. To demonstrate the forecasting capability, a predictive modeling system for the kappa number associated with a paper pulping manufacturing process was...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
1994.
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| Online Access: | Link to OAKTrust copy http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=741964971&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD |
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Cushing: Theses & Disserertations (Remote Storage: 2-3 day retrieval)
| Call Number: |
1994 Dissertation C544 |
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| Call Number | Status | Get It |
| 1994 Dissertation C544 | Available | |
Available Online
| Call Number: |
1994 Dissertation C544 |
|
|---|---|---|
| Call Number | Status | Get It |
| 1994 Dissertation C544 | Available | |