Title :
Research of enterprise innovation evaluation based on neural networks model
Author :
Yan, Shuiyan ; Wu, Ming
Author_Institution :
Sch. of Econ. & Manage., Zhejiang Ind. Polytech. Coll., Shaoxing, China
Abstract :
Enterprises´ innovation capability is not only the vitality which helps the enterprise developing and growthing but also a core competence that can not be copied by the other enterprises. Therefore, how to improve enterprises´ innovation capability becomes an urgent problem. The important elements that influence enterprises´ innovation capability have been studied by previous research, but empirical research for the evaluation index system is basically blank in China. This research is based on artificial neural network technology, according to 9 evaluation index systems, an innovation evaluation model is constructed and its feasibility is verified by examples. This mode provides a reference of innovative research method for the enterprises, will help enterprises find and improve their own shortcomings during innovation, and ultimately enhance their innovation capabilities.
Keywords :
commerce; innovation management; neural nets; China; artificial neural network; enterprise innovation evaluation; evaluation index system; innovation capability; innovation evaluation model; neural networks model; Artificial neural networks; Biological neural networks; Indexes; Mathematical model; Neurons; Technological innovation; Training; evaluation index; innovation; neural networks;
Conference_Titel :
Emergency Management and Management Sciences (ICEMMS), 2011 2nd IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-9665-5
DOI :
10.1109/ICEMMS.2011.6015769
