关键词: 协同产品创新, 学习效应, 创新客户, 识别与评价, 小波网络

Abstract: To identify the innovative customers and evaluate their ability of innovation, based on Pretreatment Wavelet Neural Network (PWNN), a new model of collaborative innovation customer selection and evaluation was proposed. Firstly, the influence of customer learning potential was analyzed and the evaluation index system of collaborative innovation customer, which including customer's innovation knowledge, ability of innovation, collaborative attitude, learning potential, innovation requirement of customer, was constructed. Secondly, theory of rough set was utilized to simplify the customer evaluation index system and reduce the input dimensionality of Wavelet Neural Network (WNN). Then, algorithms of stepwise checkout and iterative grads descending were used to decide the parameters of WNN and to get the synthetic evaluation value of customers. Finally, a numerical example was used to illustrate the feasibility and effectiveness of this model.

Key words: collaborative production innovation, learning potential, innovation customer, identification and evaluation, wavelet neural network