| 软件企业R&D人力资本投资风险预警与控制模型 |
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| 引用本文： | 张利飞,曾德明,陈世平.软件企业R&D人力资本投资风险预警与控制模型[J].系统工程理论与实践,2005,25(5):55-62. |
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| 作者姓名： | 张利飞 曾德明 陈世平 |
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| 作者单位： | 湖南大学工商管理学院 |
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| 基金项目： | 国家自然科学基金(70272029)，国家自然科学基金国际合作项目(70310107045) |
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| 摘 要： | 为了有效提取软件企业R&D人力资本投资系统中投资风险的非线性信息,首先运用改进型中心调整算法和经优化调整的新型递推学习算法实现R&D人力资本投资风险警兆指标变量非线性主元的识别,然后运用基于Kalman滤波方法的快速学习算法获得软件企业在没有R&D人力资本投资风险情况下应该达到的警兆指标基准得分,从而发现偏差,采取有针对性的控制措施防患于未然.实证表明,该模型能够较为准确地实现R&D人力资本投资风险的分离、预警与控制.
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| 关 键 词： | 人力资本投资 风险预警 风险控制 软件企业 |
| 文章编号： | 1000-6788(2005)05-0055-08 |
| 修稿时间： | 2004年2月9日 |
A Warning and Control Model of R&D Human Capital Investment Risk in Software Enterprises |
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| ZHANG Li-fei,ZENG De-ming,CHEN Shi-ping.A Warning and Control Model of R&D Human Capital Investment Risk in Software Enterprises[J].Systems Engineering —Theory & Practice,2005,25(5):55-62. |
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| Authors: | ZHANG Li-fei ZENG De-ming CHEN Shi-ping |
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| Affiliation: | School of Business Administration,Hunan University |
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| Abstract: | In order to abstract nonlinear information from R&D human capital investment risk in software enterprises, this article uses an improved central-adjusted algorithm and new learning algorithm to recognize nonlinear principal components in predictive variables of R&D human capital investment risk, and uses quickly learning algorithm based on Kalman methods to get the scores of predictive variables without investment risk. The investigation has proved that this model can predict and control R&D human capital investment risk rather well in software enterprises. |
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| Keywords: | human capital investment risk warning risk control software enterprise |
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