【摘要】 介绍了以水量平衡和降雨与径流相关关系为理论依托的河道水量还原计算的一些传统方法。在充分理解河道水量形成机理与人工神经网络原理的基础上,将人工神经网络BP算法运用于河道水量还原计算。以英国英格兰西北部IRWELL流域为例作了检验,实践证明,在没有充足资料的情况下,将人工神经网络BP算法用于河道水量还原计算中,能够较准确的演算出河道径流的形成机制,为资料匮乏地区的河道水量还原计算方法的研究提出了新的方向。更多还原

【Abstract】 This article introduces some traditional methods of the restore calculations on channel water amount, such calculations are based on water balance method and run-off dependency relation. By sufficiency understanding how the water amount formed and the principles of artificial neural networks, we use the methodology of BP in artificial neural networks into the restore calculations of channel water amount. The practice has certified that, even without enough data, the methodology of BP in artificial neural networks can calculate the form mechanism of channel runoff precisely, which expound new directions on the restore calculations of channel water amount for the area without enough data.更多还原