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作 者:孙佰清[1] 王小唯[1] 冯英浚[1] 王雪峰[1] 潘启树[1]
机构地区:[1]哈尔滨工业大学管理学院,黑龙江哈尔滨150001
出 处:《哈尔滨工业大学学报》2002年第4期455-458,463,共5页Journal of Harbin Institute of Technology
基 金:国家自然科学基金资助项目 ( 699740 13 ) ;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 .MD2 0 0 1.2 2 )
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 。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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