Region Mapping Model for R&D Project Termination Decision
Sun Xue-quan · 2004
In the paper,the shortcomings of BP neural network used for RD project termination decision are discussed and region mapping model for RD project termination decision is proposed. According to the boundary and distributing in plane,judging criterion and classifying algorithm are designed. Region mapping model can overcome the disadvantages of BP neural network, which has the slow convergence speed and may easily fall into local minimum points. In addition, region mapping model guarantees inherently the consistence of classification rule with the training rule. It has high identification ratio and faster convergence speed than BP neural network. It becomes an effective tool of pattern identification for RD project termination decision.