Artificial neural network model for the kinetics of canola oil extraction for different seed samples and pretreatments
- Sánchez, Ramiro Julián
- Fernández, María Belén
- Nolasco, Susana Maria
DOIAbstract
In this work, a multi-layer feedforward artificial neural network (ANN) was used for modeling and predicting the oil extraction yields of three canola samples with three pretreatments (unpretreatment, hydrothermal, and microwave pretreatment), considering extraction time and temperature as variables. Based on the results of the training, validation, and testing of the network, a neural network with eleven neurons in one hidden layer was selected as the best architecture for predicting the oil extraction yield response. Results obtained by the ANN model were compared with models from the literature (modified Fick's diffusion models), generally obtaining a more accurate fit with the ANN model. Practical applications: Existing models of canola...
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