针对河套灌区22年净引水量的变化特点,在建立灰色GM(1,1)模型的基础上,结合BP神经网络预测法建立灰色神经网络耦合模型,并通过Matlab编程实现.实例结果表明,耦合模型的预测精度明显优于单一灰色GM(1,1)模型,可应用于实际生产中.%According to the change characteristic of the net water diversion demand data of Hetao irrigation areas for the past 22 years, and on the basis of traditional grey GM( 1,1) model and BP neutral network method,the gray and neural network coupling model was constructed and completed by Matlab programs. Case study indicated that the accuracy of prediction result of coupling model was obviously better than that of a single gray GM (1,1) model and it could be cited in the actual production.
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