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基于RBF神经网络的财产损失评估模型
引用本文:钱育.基于RBF神经网络的财产损失评估模型[J].计算机工程与设计,2004,25(12):2154-2158.
作者姓名:钱育
作者单位:1. 中国科学院,软件研究所,北京,100080
2. 中国人民财产保险股份有限公司,北京,100052
基金项目:国家"十五"科技攻关基金项目(2001BA102A05-02)
摘    要:为了减少灾害带来的损失,需要建立科学的财产损失评估模型来进行合理评估,有效指导保险公刮防灾减损工作的顺利进行。基于这个目的,总结了财产损失评估的研究现状,分析了已有几种评估方法,提出了基于RBF神经网络的财产损失评估方法,根据保险公司的特殊需求确定了以保险标的为评估对象,进行了模型建立和实际应用。

关 键 词:财产损失  评估方法  评估模型  保险标的  评估对象  保险公司  防灾减损  有效指导  实际  科学
文章编号:1000-7024(2004)12-2154-05

RBF neutral network-based model of property loss evaluation
QIAN Yu-xian,ZUO Chun,LIU Ning,HUANG Tai-song.RBF neutral network-based model of property loss evaluation[J].Computer Engineering and Design,2004,25(12):2154-2158.
Authors:QIAN Yu-xian  ZUO Chun  LIU Ning  HUANG Tai-song
Abstract:Scientific model of property loss evaluation is needed for insurance company to evaluate property loss caused by natural disasters reasonably and make the work of disaster prevention and loss reduction go on smoothly. The current situation of property loss evaluation is summarized, and a RBF neutral network-based approach to evaluate property loss is also proposed. Insurance item is clarified as evaluation object according to the particular requirement of insurance company and finally the model is implemented and applied into practice.
Keywords:disaster prevention and loss reduction  property loss evaluation  3S technique  RBF neutral network  orthogonal least squares (OLS)  insurance item  item vulnerability  loss rate
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