Evaluation Weights Distribution and Modification for Technological Innovation Capability Based on BP Neural Network
In this paper, based on the index system for the technological innovation capability of enterprises evaluation, and the analytic hierarchy process (AHP) relying on expert experiences is used to obtain a comprehensive evaluation index weight distribution as the desired output of BP neural network. Finally, through the BP neural network algorithm, by accessing to training the neural network, the weight modification for the evaluation index has been achieved. And a case st udy has been done to prove its feasibility, and demonstrate the role of combination of subjective and objective methods in promoting the development of scientific evaluation.
BP algorithm neural network weight distribution technological innovation capability
Li Changling Xu Haiyun Ji Xuemei
Science and Technology Information Research Institute, Shandong University of Technology, Zibo, P.R.China, 255091
国际会议
4th International Conference on Productinnovation Management(第四届产品创新管理国际会议)
武汉
英文
554-558
2009-08-22（万方平台首次上网日期，不代表论文的发表时间）