Neural network approach to R&D project termination decisions

被引:0
作者
Dong, JR [1 ]
Yang, XT [1 ]
Feng, QS [1 ]
机构
[1] Chongqing Univ, Coll Management, Chongqing 400044, Peoples R China
来源
PROCEEDINGS OF THE SECOND INTERNATIONAL SYMPOSIUM ON MANAGEMENT OF TECHNOLOGY | 1998年
关键词
research and development; project termination; neural network;
D O I
暂无
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
A neural network approach to assist managers in deciding whether to abandon an ongoing research and development (R&D)/innovation project at various stages of R&D is present, back-propagation algorithm is used to learn the connection weights of the neural network. It has been shown by the modeling and evaluating results about termination decisions of eleven R&D project that the method possesses reinforcement learning properties. With respect to modeling and terminating decisions of R&D project, which has the fact that the evaluation criteria are hardly ever determined by statistical analysis, the method is available.
引用
收藏
页码:283 / 287
页数:5
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