【摘要】 基于人工神经网络拟合函数的思想,建立了量化计算农业干旱程度的神经网络模型,并通过神经网络拟合农业干旱程度的概率分布函数,进而对农业干旱的概率分布进行详细地研究。文中建立的模型避免了建立具体数学表达式及求解其参数的不便,并且可以在未知随机变量具体分布的情况下拟合其概率分布函数。以河南省濮阳市渠村灌区为例,计算出当地的农业干旱程度的概率分布,验证了该模型的有效性。更多还原

【Abstract】 Based on the idea of fitting function curve with neural networks,this paper establishes the neural networks models for estimating agriculture drought quantitatively and its probability distribution.The models based on this idea can avoid the inconvenience of establishing concrete mathematical formulas and the calculation of parameters and this method can fit the probability function when the theory distribution of the random variable is unknown.Finally this paper calculates probability distribution of the drought extent for agriculture in Qu Cun irrigation area,Puyang city,Henan province,proving the correctness of the models.更多还原