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Nonlinear process modeling using multiple neural network (MNN) combination based on modified Dempster-Shafer (DS) approach

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3 Author(s)
Ahmad, Z. ; Sch. of Chem. Eng., USM, Nibong Tebal, Malaysia ; Baharuddin, I. ; Mat Noor, R.A.

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.

Published in:

Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on

Date of Conference:

18-20 July 2012