Study on the Prediction Model of Milk Fat Rate of Dairy Cows Based on Bidirectional Multilayer Gated Recurrent Neural Network
Through data prediction of the milk fat rate of cows and precise feature selection of environmental data using the random forest algorithm,the ecological factors that significantly impact the milk fat rate were determined.On this basis,a milk fat rate prediction model(RF-BiGRU)that combines random forests with bidirectional gated recurrent neural networks was proposed,and related experiments were conducted.The results show that the model can improve the accuracy and efficiency of prediction.
physiological prediction model of cowrandom forest algorithmbidirectional multilayer gated recurrent neural network
万方数据
维普
