Prediction of the antimicrobial activity of walnut (Juglans regia L.) kernel aqueous extracts using artificial neural network and multiple linear regression
The mathematical model was established to determine the diameter of inhibition zone of the
walnut extract on the twelve bacterial species. Type of extraction, concentration, and
pathogens were taken as input variables. Two models were used with the aim of designing
this system. One of them was developed with artificial neural networks (ANN), and the other
was formed with multiple linear regression (MLR). Four common training algorithms were
used. Levenberg–Marquardt (LM), Bayesian regulation (BR), scaled conjugate gradient …
walnut extract on the twelve bacterial species. Type of extraction, concentration, and
pathogens were taken as input variables. Two models were used with the aim of designing
this system. One of them was developed with artificial neural networks (ANN), and the other
was formed with multiple linear regression (MLR). Four common training algorithms were
used. Levenberg–Marquardt (LM), Bayesian regulation (BR), scaled conjugate gradient …
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