| 基于区域映射模型的R&D项目中止决策 |
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| 引用本文： | 孙佰清,王小唯,冯英浚,王雪峰,潘启树.基于区域映射模型的R&D项目中止决策[J].哈尔滨工业大学学报,2002,34(4):455-458,463. |
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| 作者姓名： | 孙佰清 王小唯 冯英浚 王雪峰 潘启树 |
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| 作者单位： | 哈尔滨工业大学,管理学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目(69974013);黑龙江省科学技术计划资助项目(K9912);哈尔滨工业大学跨学科交叉性研究基金资助项目(HIT.MD2001.22). |
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| 摘 要： | 针对传统的BP网络训练时收敛速度缓慢,容易陷入局部极小,并且实际分类准则与训练准则不一致的缺陷,提出了R&D项目中止决策模式识别的区域映射模型.模型从根本上保证了分类准则与训练准则的一致性,具有比BP网络更快的训练速度和更高的识别率.案例研究表明,区域映射模型是R&D项目中止决策的一种有效的模式识别方法.
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| 关 键 词： | R＆D项目 中止决策 BP网络 模式识别 区域映射模型 管理学 分类准则 训练准则 |
| 文章编号： | 0367-6234(2002)04-0455-04 |
Decision on termination of R&D project based on region mapping model |
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| SUN Bai qing,WANG Xiao wei,FENG Ying jun,Wang Xue feng,Pan Qi shu.Decision on termination of R&D project based on region mapping model[J].Journal of Harbin Institute of Technology,2002,34(4):455-458,463. |
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| Authors: | SUN Bai qing WANG Xiao wei FENG Ying jun Wang Xue feng Pan Qi shu |
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| Abstract: | The traditional BP neural network has slow convergence speed and may easily fall into local minimum points,and its classification rule is not consistent with its training rule. All these reasons influence the performance of BP neural network in pattern recognition. Region mapping model is proposed for decision on termination of a R&D project,which guarantees inherently the consistency of classification rule with the training rule. The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio. The result of an empirical study shows that region mapping model is an effective method of pattern identification for decision on termination of R&D project. |
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| Keywords: | R&D project decision on termination BP neural network pattern identification region mapping model |
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