摘要
目前主流项目投资风险分析方法易受评价人员主观意识、经验,以及知识局限的影响。神经网络具有大规模并行、分布式存储和处理等特点,适合处理需要同时考虑多条件、模糊的信息问题。文章设计了一个基于BP神经网络风险投资评价系统,使用当前主流的Android平台进行设计开发,利用风险评价方法,发挥人工神经网络的优点,克服了其他评估方法带有主观因素的不足。
The current mainstream project investment risk analysis methods are susceptible to evaluation personnel's subjective consciousness, experience, and limitations of knowledge. Neural networks has some properties such as massively parallel, distributed storage and processing, it is propitious to solve the problem which has multiple requirements and fuzzy information. In this paper, we design a risk investment evaluation system based on BP neural network and Android platform. And by the risk assessment method, this system is produce the artificial neural network advantage, overcome the lack of other evaluation methods which are susceptible to subjective factors.
出处
《计算机时代》
2015年第6期17-19,22,共4页
Computer Era
基金
创新团队建设与人才培养项目"房地产网络数据采集与分析团队建设"(2013F20010)