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- W2505718162 abstract "Artificial Neural Networks (ANN) based on simulation data from validated models are a useful tool in system design and for process controls. This chapter provides an overview of the use of ANN in problem solving of many real-life engineering system design. It also discusses the effect of the number of hidden layer nodes, learning rate and momentum values on efficient ANN development. Some ANN examples discussed are: prediction of temperature and moisture contents of frankfurters (hot dogs) during thermal processing; prediction of food thermal process evaluation parameters; and prediction of freezing time for food products. The ANN development for meatball cooking is given in detail." @default.
- W2505718162 created "2016-08-23" @default.
- W2505718162 creator A5088128501 @default.
- W2505718162 date "2013-01-01" @default.
- W2505718162 modified "2023-09-24" @default.
- W2505718162 title "Artificial Neural Network (ANN) Based Process Modeling" @default.
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- W2505718162 doi "https://doi.org/10.1016/b978-0-12-385881-8.00018-5" @default.
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