软科学
軟科學
연과학
Soft Science
2014年
12期
125~129
,共null页
科技投融资 绩效评价 支持向量机 主成分分析
科技投融資 績效評價 支持嚮量機 主成分分析
과기투융자 적효평개 지지향량궤 주성분분석
sicence and technology investment and finance; evaluation of performance; support vector machine; principal component analysis
提出了基于支持向量机的科技投融资绩效评价方法,并对四川省1995～2012年期间科技投融资绩效进行实证研究。结果表明：基于支持向量机进行科技投融资绩效评价的方法是可行且有效的;四川省科技投融资绩效并不是随着投融资总额的增加呈现出逐步提高的趋势,而是有一定的波动性。
提齣瞭基于支持嚮量機的科技投融資績效評價方法,併對四川省1995～2012年期間科技投融資績效進行實證研究。結果錶明：基于支持嚮量機進行科技投融資績效評價的方法是可行且有效的;四川省科技投融資績效併不是隨著投融資總額的增加呈現齣逐步提高的趨勢,而是有一定的波動性。
제출료기우지지향량궤적과기투융자적효평개방법,병대사천성1995～2012년기간과기투융자적효진행실증연구。결과표명：기우지지향량궤진행과기투융자적효평개적방법시가행차유효적;사천성과기투융자적효병불시수착투융자총액적증가정현출축보제고적추세,이시유일정적파동성。
To improve the government＇ s science and technology investment and finance management model and raise the level of innovation efficiency. The support vector machine method is presented in this paper to do an empirical study on the performance of ST investment and finance based on the datas from 1995 to 2011. On the one hand,the test results show that the construction of support vector machine mothod is effective and feasible. On the other hand,the performance of ST investment and finance is not increasing with the total investment but showing some fluctuations.
