【摘要】 水稻需水量仿真与预测是制定优化灌溉制度的重要依据。应用人工神经网络技术（BP-ANN）处理需水量时间序列，通过自相关分析，确定网络结构，建立了井灌水稻需水量的人工神经网络模型，解决了需水量序列内部及其外部诸多影响因素之间的不确定关系，预测精度较高，可在灌区决策管理中应用。更多还原

【Abstract】 [Abstract] The simulation and the forecast of paddy water demand is an important basis for lay down the optimization irrigation system. The paper treatments the time series by the artificial nerve network technology (BP -ANN), defines the network structure by the self - correlation analysis, sets up the artificial nerve network model of well irrigation paddy water demand for uncertainty relation between inside and outside factors of water demand series. The forecast precision is high. It can be applied to the management decision in the irrigation area.更多还原