摘要
本文将投影寻踪聚类模型(PPC)应用于创业投资综合评价中,利用基于实码的加速遗传算法(RAGA)来优化投影方向,将多维数据指标转换成低维子空间,通过寻求最优投影方向来计算投影函数值,从而根据投影值的大小进行创业投资综合评价。本文还结合实例进行了应用,其结果合理,避免了人为确定权重的干扰,为创业投资项目评价提供了新思路和新方法。
Through applying PPC model in the evaluation of venture capital, RAGA was used to optimize the projection direction, and turn multi-dimension data into low dimension space. The value of projection function could be calculated by way of seeking the optimal projection direction, thereby, according to the value, comprehensive evaluation of venture capital could be process. The outcome from concrete application indicates that it is suitable to evaluate venture capital, has avoided the problem of calculating coefficient of weight subjectively, and provides a new method and thought to comprehensive evaluation of venture capital.
出处
《中国青年科技》
2007年第5期52-55,共4页
China Youth Science and Technology