自适应型神经网络及其在飞来峡水库移民安置综合评价中的应用  

Application of artificial neural network with self-adaptation to comprehensive evaluation of Feilaixia Reservoir immigration arrangement

作　　者：曾建生[1] 

机构地区：[1]河海大学商学院,江苏南京210098

出　　处：《水利经济》2007年第5期68-71,共4页Journal of Economics of Water Resources

摘　　要：为加快人工神经网络的学习收敛速度,提出一种具有自适应功能的人工神经网络模型。该模型在构造激活函数时采用初始区间收缩技术,并给出了具体计算方法。应用该模型对飞来峡水库移民安置效果进行综合评价。结果表明,本文模型与传统BP模型所得结论基本一致,但在训练速度上优于传统BP模型。A new model of artificial neural network with self-adaptation is put forward in order to expedite the convergence rate.Techniques such as contraction of first region are used to construct activated function.The model is applied to the comprehensive evaluation of reservoir immigration.The results show that the model is fast,simple,convenient,reliable,reasonable and applicable.

关 键 词：人工神经网络 自适应 水库移民安置 综合评价 飞来峡水库 

分 类 号：C922[社会学—人口学]