Abstract
Multilayer neural networks have been successfully applied as intelligent sensors for process modeling and control. In this chapter, a few practical issues are discussed and some solutions are presented. Several biased regression approaches, including ridge regression, PCA, and PLS, are integrated with neural net training to reduce the prediction variance.
| Original language | English |
|---|---|
| Title of host publication | Neural Systems for Control |
| Editors | Omid OMIDVAR, David L. ELLIOTT |
| Publisher | Elsevier |
| Chapter | 8 |
| Pages | 213-234 |
| ISBN (Print) | 9780125264303 |
| DOIs | |
| Publication status | Published - 1997 |
| Externally published | Yes |
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