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This document discusses using artificial neural networks to predict the thermal conductivity of bakery products in Nigeria. It reviewed previous work applying neural networks to predict properties of foods. The optimal neural network model developed had 8 neurons in each of 2 hidden layers and could predict thermal conductivity values with low errors. This model performed better than simpler networks. The document aims to establish neural network models that can accurately predict thermal conductivity as a

Author

K V SATHEESHKUMAR MECH

Language

EN