Quality prediction of whole‐grain rice noodles using backpropagation artificial neural network
Chujun Wang,
Xin Shi,
Jianyi Xue
et al.
Abstract:BACKGROUNDWhole‐grain rice noodles are a kind of healthy food with rich nutritional value, and their product quality has a notable impact on consumer acceptability. The quality evaluation model is of great significance to the optimization of product quality. However, there are few methods that can establish a product quality prediction model with multiple preparation conditions as inputs and various quality evaluation indexes as outputs. In this study, an artificial neural network (ANN) model based on a backpr… Show more
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