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根据绰勒水库下游灌区保安召实验站1983~1985年水稻试验资料,以1983、1984年相对腾发量和相对产量作为BP神经网络的输入样本和输出样本求得灌区ETa用水过程线。经1985年的资料检验,模拟值(6~9月)与实测值均有较好的拟合精度。
According to the experimental data from 1983 to 1985 in the experimental station of Paulianxia irrigation in the downstream irrigation area of the Chaoller Reservoir, the relative ET and the relative output in 1983 and 1984 are taken as the input samples and output samples of the BP neural network to obtain the ETa water process curve in the irrigation area. The 1985 data test, the simulated value (June to September) and the measured values have better fitting accuracy.