《Table 1–The accuracies of OFDT on training, validation and testing set.》

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《Predicting oral disintegrating tablet formulations by neural network techniques》

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Fig.4 showed the label（true）value and predictive value of disintegrating time on ANN model（A.training set；B.validation set；C.testing set），while indicated the true value and predictive value of disintegrating time on DNN model（D.training set；E.validation set；F.testing set）.As shown in Fig.4，the training set and validation set of both ANN and DNN showed good results.As Table 1 shows，the predictive accuracy of ANN model is 85.60%on training set and 80.00%on validation set，while the DNN model is 85.60%and 85.00%，respectively.However，the testing set of ANN with only 75.00%accuracy is lower than that of DDN（80.00%），which indicated that DNN is able to significantly better predict real unknown data than ANN.