Research on the age prediction of intestinal bacterial hosts based on RBF neural network
Radial basis function(RBF)neural network,which has the advantages of fast convergence speed,high local ap-proximation accuracy and certain robustness,is widely used in nonlinear function approximation,data prediction and data classifi-cation.Based on the characteristics of RBF neural network,16 indicators of intestinal bacterial hosts are used as independent vari-ables to predict the age of individual hosts and analyze the error values.The result shows that:The age prediction of host individu-als under RBF neural network shows good mean square error MSE,root mean square error RMSE,mean absolute percentage error MAPE and correlation coefficient R2 in both the training set and the test set.The predicted age values in the testing set are very close to the actual values,and the error between the two is small and the prediction accuracy is high,so it has good predictive abil-ity.This experiment provides consultation and guidance for the study of the physical health of intestinal bacterial hosts,and has cer-tain theoretical research significance and application value.
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