Artificial Neural Network (ANN) Based Process Modeling

Abstract Artificial neural networks (ANNs) 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 designs. 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.

[1]  G. E. Arteaga,et al.  Predicting Protein Functionality with Artificial Neural Networks: Foaming and Emulsifying Properties , 1993 .

[2]  Jan Van Impe,et al.  A prototype grey box model using neural networks for prediction of microbial growth , 1997 .

[3]  Gauri S. Mittal,et al.  Meatball cooking — modeling and simulation , 1995 .

[4]  M. N. Ramesh,et al.  APPLICATION of ARTIFICIAL NEURAL NETWORKS to INVESTIGATE the DRYING of COOKED RICE , 1996 .

[5]  Gauri S. Mittal,et al.  Prediction of freezing time for food products using a neural network , 2000 .

[6]  G S Mittal,et al.  Prediction of temperature and moisture content of frankfurters during thermal processing using neural network. , 2000, Meat science.

[7]  Paul Chen,et al.  SPECTRUM ANALYSIS OF MIXING POWER CURVES FOR NEURAL NETWORK PREDICTION OF DOUGH RHEOLOGICAL PROPERTIES , 1997 .

[8]  Q. T. Pham.  Simplified equation for predicting the freezing time of foodstuffs , 1986 .

[9]  A. Westby,et al.  Consumer preferences and fungal and mycotoxin contamination of dried cassava products from Ghana , 2001 .

[10]  G. S. Mittal,et al.  Artificial neural network for the prediction of temperature, moisture and fat contents in meatballs during deep‐fat frying , 2001 .

[11]  P. Ateba,et al.  Modelling the deep‐fat frying of beef meatballs , 2007 .

[12]  Gauri S. Mittal,et al.  Use of artificial neural network to predict temperature, moisture, and fat in slab-shaped foods with edible coatings during deep-fat frying , 2000 .

[13]  G S Mittal,et al.  Prediction of food thermal process evaluation parameters using neural networks. , 2002, International journal of food microbiology.