基于AHP-SOM方法下的风险投资项目选择研究

Research on AHP-SOM-based methods of venture capital investment projects selection

从风险投资的特点出发,提出将层次分析与自组织神经网络相结合的风险投资项目选择的方法,使复杂传统的评价思维过程数学化.首先采用层次分析法确定各影响因素的相对权重,再构建自组织神经网络模型对风险投资项目进行评估.最后借助Matlab进行实现.实例研究表明,该方法用于风险投资项目选择可行,可为我国风险投资实践发展提供有益的参考.

AHP-SOM-based methods of venture capital investment projects selection are explored from the venture capital＇s characteristics for changing the complexity traditional evaluation process to mathematical thinking. The relative weight of various factors are determined by analytic hierarchy prpcess, then the self-organizing neutral network model are set up to evaluate the venture capital investment projects, and the process are implemented by matlab. The experience research show that this method is feasible for evaluating the venture capital investment projects and can provide useful reference for the development of venture capital practice in our country.