The evaluation system of green mining based on quantum immune algorithm and neural network

DOI

10.2991/icaees-15.2015.73How to use a DOI?

Keywords

green mine; quantum algorithms; immune algorithm; neural network

Abstract

The construction of green mine represents the development and utilization level of mineral resources and the sustainable development potential. In view of the characteristics of the large index system and complex evaluation process of green mining, a kind of BP neural network algorithm based on quantum immune apply to green mining evaluation.Because the algorithm combines the space search advantages of immune optimization and those of quantum optimization ,it can make the convergence of the neural network training faster, and avoid falling into local optimum.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Dongwang Zhong
AU  - Linna Li
PY  - 2015/07
DA  - 2015/07
TI  - The evaluation system of green mining based on quantum immune algorithm and neural network
BT  - Proceedings of the 3rd International Conference on Advances in Energy and Environmental Science 2015
PB  - Atlantis Press
SP  - 389
EP  - 394
SN  - 2352-5401
UR  - https://doi.org/10.2991/icaees-15.2015.73
DO  - 10.2991/icaees-15.2015.73
ID  - Zhong2015/07
ER  -