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This paper is concerned with optimizing the neural network topology for predicting the moisture content of grain drying process using genetic algorithm. A structural modular neural network, by combining the BP neurons and the RBF neurons at the hidden layer, was proposed to predict the moisture content of grain drying process. Inlet air temperature, grain temperature and initial moisture content were...
Adsorption and desorption isotherms for corn starch powders were determined at 30, 45 and 60°C using a gravimetric technique. Samples were equilibrated in desiccators containing sulphuric acid solutions of known water activity (0.05–0.95), and placed in temperature-controlled cabinets for approximately 10 days. The data obtained were fitted to several Halsey, Oswin, Henderson, Modified-BET and Smith...
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