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神经网络在城市金融发展综合评判中的应用
引用本文:肖科,夏婷. 神经网络在城市金融发展综合评判中的应用[J]. 武汉大学学报(工学版), 2006, 39(6): 122-125
作者姓名:肖科  夏婷
作者单位:武汉理工大学,湖北,武汉,430070
摘    要:引入神经网络,利用神经网络的自学习、自适应及非线性逼近能力,建立了针对城市金融发展的综合评判模型,并利用Matlab的神经网络工具箱进行开发实现.经过实证研究,表明了该模型的有效性,为城市金融发展综合评判提供了一种科学、可行的评标模型.

关 键 词:神经网络  城市金融发展  综合评判
文章编号:1671-8844(2006)06-122-03
修稿时间:2006-06-18

Application of neural network to comprehensive evaluation of urban financial development
XIAO Ke,XIA Ting. Application of neural network to comprehensive evaluation of urban financial development[J]. Engineering Journal of Wuhan University, 2006, 39(6): 122-125
Authors:XIAO Ke  XIA Ting
Abstract:The neural network is introduced.By utilizing the properties of self-study and self-adaptation of neural network that can approximate any nonlinear continuous function,a model of comprehensive(evaluation) is built and is carried out by the toolbox of Matlab.Through the simulation study with practical instance data,it is shown that the model presents very good performance and offers a scientific and effective model for evaluating urban financial development.
Keywords:neural network  urban financial development  comprehensive evaluation
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