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By I. M. Mujtaba, Mehboob A. Hussain

This quantity is a follow-up to the IChemE symposium on "Neural Networks and different studying Technologies", held at Imperial university, London, in might 1999. The curiosity proven through the contributors, specifically these from the undefined, has been instrumental in generating the e-book. The papers were written via individuals to the symposium and specialists within the box from all over the world. They current the entire very important elements of neural community usage in addition to convey the flexibility of neural networks in quite a few elements of approach engineering difficulties - modelling, estimation, keep watch over, optimization and commercial purposes.

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90 Table 7. 45 x (0=biO'-1) ••• yi{i-mx) ••• ux{i-dx-ni) ••• yKy(i-l) ... 38 ••• yny[i-mnJ u^ii-O^-l) ••• u^i-O^l) unu{i-9nu~nnuf Multiple-step-ahead predictions are a much tougher test of model accuracy than one-step-ahead prediction tests. Additionally, in the case of a multivariable system, one MISO model is needed for each system output when making multiple- 38 Neural Networks in Process Engineering step-ahead predictions. This permits many possible combinations of models when more than one MISO model is available for each output.

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