The Comprehensive Evaluation of New Energy Industry Developing Capability Based on Wavelet Neural Network Model

نویسندگان

  • Shaomei Yang
  • Qian Zhu
  • Zhibin Liu
چکیده

Accelerate the development and utilization of new energy sources, which is basic requirements of implementing the scientific development concept, and building a resource-saving and environment-friendly society, and which has very important meaning for adjusting industrial structure, changing the mode of economic development, expanding employment, and promoting economic society sustainable development, how to evaluate the new energy industry developing capability has been a key issues. In this paper, based on defining the new energy industry developing capability and analyzing the key factors, proposed the new energy industry developing capability index system, built comprehensive evaluation model of the new energy industry developing capability based on neural network; in Hebei Province, through the training set to train the network, get the simulation results of the testing set; the example has proved that the method has a certain scientific and practical, which can be fully used in the new energy industry developing capability, and be promoted in other areas.

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عنوان ژورنال:
  • JCP

دوره 7  شماره 

صفحات  -

تاریخ انتشار 2012