首页    期刊浏览 2025年07月02日 星期三
登录注册

文章基本信息

  • 标题:The Comprehensive Evaluation of New Energy Industry Developing Capability Based on Wavelet Neural Network Model
  • 本地全文:下载
  • 作者:Yang, Shaomei ; Zhu, Qian ; Liu, Zhibin
  • 期刊名称:Journal of Computers
  • 印刷版ISSN:1796-203X
  • 出版年度:2012
  • 卷号:7
  • 期号:2
  • 页码:439-443
  • DOI:10.4304/jcp.7.2.439-443
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要: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.
  • 关键词:wavelet neural network model;new energy industry;developing capability;Comprehensive evaluation
国家哲学社会科学文献中心版权所有