由表2~4可知，三层BP神经网络预测模型预测“A细纱”棉结指标的数据集

It can be seen from Tables 2~4 that the three-layer BP neural network prediction model predicts that the average relative error of the data set of the "A spun yarn" neps index is 10.63%, and the maximum relative error of the predicted data can reach 34.07%; the prediction of the "B spun yarn" neps The average relative error of the data set of the indicator is 11.45%, and the maximum relative error of the predicted data can reach 33.97%; the average relative error of the data set of the predicted "C spun yarn" neps indicator is 18.97%, and the maximum relative error of the predicted data can reach 46.28% .

As can be seen from Table 2 to 4, the three-layer BP neural network prediction model predicts that the average relative error of the "A fine yarn" cotton junction index is 10.63%, and the maximum relative error of the forecast data can reach 34.07%; The average relative error of the data set is 11.45 percent, the maximum relative error of the forecast data is 33.97 percent, and the average relative error of the data set predicted "C fine yarn" cotton knot index is 18.97 percent, and the maximum relative error of the forecast data is 46.28 percent.

From table 2 to table 4, it can be seen that the average relative error of the data set predicted by the three-layer BP neural network prediction model for the "a-spinning" NEP index is 10.63%, and the maximum relative error of the prediction data can reach 34.07%; the average relative error of the data set predicted for the "b-spinning" NEP index is 11.45%, and the maximum relative error of the prediction data can reach 33.97%; the average relative error of the data set predicted for the "c-spinning" NEP index is 10.63% The error is 18.97%, and the maximum relative error of prediction data is 46.28%.<br>