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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ahmad, Z. Baharuddin, I. Mat Noor, R.A. |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Chemical Engineering, Engineering Campus, USM, 14300 Nibong Tebal, Penang, Malaysia (Ahmad, Z.; Baharuddin, I.) || Section of Chemical Engineering Technology, Universiti Kuala Lumpur-Malaysian Institute of Chemical and Bioengineering Technology, Lot 1988, Bandar Vendor Taboh Naning, 78000, Alor Gajah, Malacca, Malaysia (Mat Noor, R.A.) |
| Abstract | In this work, modified Demspter-Shafer (DS) is employed as the method for multiple neural networks (MNN) combination. The modified DS - MNN combination was employed to a nonlinear process. The ‘best’ single network condition is somehow a difficult condition to achieve especially in nonlinear process modeling; therefore, multiple neural networks were applied in this work. Furthermore, MNN was combined with a nonlinear combination method - DS method to further improved the MNN model. In this case, a conical water tank was used as the nonlinear system. Based on the results, the modified DS - MNN implementation in the nonlinear conic water tank system was convincing and showed the reliability of MNN as a modeling tool. |
| Starting Page | 1407 |
| Ending Page | 1411 |
| File Size | 838270 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457721182 |
| e-ISBN | 9781457721199 |
| DOI | 10.1109/ICIEA.2012.6360944 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-18 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Data models Training Testing Multi-layer neural network Robustness Storage tanks nonlinear process modeling neural networks multiple neural networks Dempster-Shafer method |
| Content Type | Text |
| Resource Type | Article |
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