Abstract
As one of the key factors which mankind depends on for existence, energy is the necessary strategic material which plays an important role in national economic and social development. In order to cope with changes the energy situation, the Chinese government and the domestic provinces have gradually began to vigorously develop new energy industry, and the study on new energy industry has been given more and more important significance. Therefore, this paper takes the energy industry as the researching object and makes an evaluation index system of flawlessness to evaluate the flawlessness of new energy industry chain, combining Rough Sets with BP Neural Network Theories.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, W., Wang, D., Ti, Y. (2011). Evaluation for the Flawlessness of New Energy Industry Chain Based on Rough Sets and BP Neural Networks. In: Lin, S., Huang, X. (eds) Advanced Research on Computer Education, Simulation and Modeling. CESM 2011. Communications in Computer and Information Science, vol 176. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21802-6_41
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DOI: https://doi.org/10.1007/978-3-642-21802-6_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21801-9
Online ISBN: 978-3-642-21802-6
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