Development of artificial intelligence based systems for prediction of hydration characteristics of …

Highlights • Three ANFIS models were developed to simulate hydration characteristics of wheat. • The results of ANFIS models were compared with those of ANN model. • Both ANFIS and ANN were able to accurately predict hydration characteristics. • An ANN simulation framework was preferred to three ANFIS simulation frameworks. Abstract Hydration characteristics (moisture content, moisture ratio and hydration rate) of wheat kernel during soaking process were studied and simulated. Hydration procedure was performed at five different experimental water temperatures (30, 40, 50, 60 and 70 (°C)) with respect to hydration time changes. Hydration characteristics of samples were modeled using one of the most popular simulation frameworks of artificial intelligence, adaptive neuro-fuzzy inference system (ANFIS). A comparison was also made between results of the best developed ANFIS model and those…


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