中文摘要：

以大棚外气象因子中温度、湿度、辐射等为输入量,分别以大棚内气温、地温、湿度等气象因子为单项输出量,构建了基于神经网络预测预报原理的大棚小气候预测模型,模型预测结果好,该模型一方面能够解决大棚内气候资料缺乏的问题,另一方面能够提前模拟大棚内气候,对大棚的环境调控起指导作用。

英文摘要：

Taking the outside meteorological factors（temperature,humidity,radiation and so on）as the input vector and taking the inside meteorological factors（temperature,ground temperature,humidity and so on）as the output vector,this paper builds a model of greenhouse climate based on the theory of Back-Propagation Network prediction.The predicted result of the model is comparatively ideal.This model can not only solve the problem of climate data lack in greenhouse,but also simulate the climate in greenhouse so that it can play the guiding role on controlling the greenhouse environment.