Prediction method of wheat moisture content in the hot air drying process based on backpropagation neural network optimized by genetic algorithms
Author:
Affiliation:
1. School of Mechanical Engineering Anhui Polytechnic University Wuhu China
Publisher
Hindawi Limited
Subject
General Chemical Engineering,General Chemistry,Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jfpp.16565
Reference27 articles.
1. Application of Artificial Neural Network modeling for optimization and prediction of essential oil yield in turmeric (Curcuma longa L.)
2. Optimisation of the addition of carrot dietary fibre to a dry fermented sausage (sobrassada) using artificial neural networks
3. Sound quality prediction and weight analysis of vehicles based on GA-BP neural network
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