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Study on the comprehensive advantage evaluation method of high-tech enterprises based on RBF artificial neural network
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作者 王宏起 王雪原 唐宇 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2005年第6期645-649,共5页
This paper designs an intelligent evaluation approach using a Radial Basis Function (RBF) Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offer... This paper designs an intelligent evaluation approach using a Radial Basis Function (RBF) Artificial Neural Network. We based our approach on establishing a comprehensive advantage evaluating index system that offers scientific substance for creating a development plan and the strategic management of high-tech industry and regional clusters of high-tech enterprises. Furnhermore, this paper selects some typical high-tech enterprises' data to make comprehensive training on the network system. Meanwhile, the paper chooses some enterprises as testing samples to test the method, the result of which proves that this method is truly effective. The research of this paper provides a comprehensive advantage evaluating and managing method for high-tech enterprise. 展开更多
关键词 comprehensive advantage evaluating method high-tech enterprise rbf artificial neural network
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