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 collage, London, in could 1999. The curiosity proven via the contributors, specifically these from the undefined, has been instrumental in generating the ebook. The papers were written via participants to the symposium and specialists within the box from around the globe. They current the entire very important points of neural community usage in addition to exhibit the flexibility of neural networks in a number of elements of approach engineering difficulties - modelling, estimation, keep an eye on, optimization and business functions.
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Additional info for Application of Neural Networks and Other Learning Technologies in Process Engineering
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The network was trained on all the data, except one which was held out for testing or validating the performance of the network. This procedure (also known as jack-knifing or hold-out) was repeated until the network had been validated against all the data. The alternative procedure of using say half the data for simulation and half for validation provides insufficient information for close simulation with three input variables at several different levels of each. Despite the limited availability of data, the network was capable of predicting holdup (h) and the mean drop size ^32) with average absolute errors of 13% and 14% respectively, as shown in Figs.
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