In the paper, a BP network in which the factors to effect groundwater levels are set as input neurons and the groundwater level is set as output neuron, was established to forecast groundwater level.
本文把影响地下水位的因素集作为网络的输入向量，地下水位本身作为网络的输出向量，构成了预测地下水位的BP网络模型。
And then the forecast output data can be obtained through forecast model under certain input conditions.
然后，在一定输入条件下，通过预测模型，即可求得预测输出。
In the forecast of dynamic systems, future values of system input varibles are often unknown, and influenced by those of system output varibles in the way of feedback.
在动态系统的预报问题中，未来的输入变量常常也是未知的，而且输出变量对输入变量具有反馈作用。
Transfer function model reduced error of forecast due to it made use of ARIMA model theory as well as calculated affection of input series leading the predicted value of output series.
由于传递函数模型是在利用ARIMA模型理论基础上，同时将输入序列的变化对输出序列预测值的影响充分的加以考虑，所以可以使预报误差大大降低。
This paper simulates the forecast process as a"fuzzy control system", takes the forecast factors as the input data , and the forecast quantities as the output data.
本文将预测过程模拟成一个“模糊控制系统”，以预测因子作为系统的输入，预测量作为系统的输出。
Using the input-occupancy-output techniques and system science methods, this paper makes a forecast about Chinas grain output, grain import and self-support rate in the year 2030.
利用投入占用产出技术及系统科学方法，对2030年中国的粮食产量、粮食进口量及自给率进行了预测。
Using the input-occupancy-output techniques and system science methods, this paper makes a forecast about Chinas grain output, grain import and self-support rate in the year 2030.
利用投入占用产出技术及系统科学方法，对2030年中国的粮食产量、粮食进口量及自给率进行了预测。
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