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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yong-Zai Lu Markward, S.W. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Inf. Technol., Bethlehem Steel Corp., Burns Harbor, PA, USA (Yong-Zai Lu; Markward, S.W.) |
| Abstract | This study presents the development and application of an integrated neural system in coating weight prediction and adaptive control for a modem hot dip coating line (HDCL). The neural system consists of two multilayer feedforward networks (with backpropagation learning) and a neural adaptive controller (with adaptive learning). They perform coating weight prediction, feedforward control and adaptive feedback control respectively. The production environment analysis and the design of the neural system architecture, associative memory, generalization and stability are addressed in detail. The real-time industrial application results are also given to show the benefits through applying an integrated neural control system in a modem hot dip coating line. |
| Starting Page | 2302 |
| Ending Page | 2306 |
| File Size | 577076 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780324455 |
| DOI | 10.1109/ACC.1995.531382 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-06-21 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Adaptive control Programmable control Modems Dip coating Control systems Nonhomogeneous media Backpropagation Weight control Feedback control Production systems |
| Content Type | Text |
| Resource Type | Article |
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