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.
关键词
奶牛生理预测模型/随机森林算法/双向多层门控循环神经网络模型
Key words
physiological prediction model of cow/random forest algorithm/bidirectional multilayer gated recurrent neural network
维普
万方数据