Local Economic Cost Sensitivity Analysis in the Application of Gas Emission

DOI

10.2991/meici-15.2015.68How to use a DOI?

Keywords

Neural Network; Sensitivity Analysis; Economic Cost Disturbance; Gas Emission.

Abstract

It is difficult to measure the change amount of the factorsIt is difficult to measure the change amount of the factors. In order to solve this problem, local economic cost sensitivity analysis is proposed. The method is a combination of neural network, sensitivity analysis, and economic cost disturbance. First, the nonlinear relationships between input and output variables with neural network for specific engineering are established. Second, same economic cost disturbance to each attribute of input variables is added. Third, the average amount of change of the output variables as the sensitivity coefficient of the input variables attributes is taken. Finally, by application in terms of Gas Emission, result validated that the method is effective.

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  - Shun Zhou
AU  - Xiaoguang Yue
AU  - Shunli Zhao
PY  - 2015/06
DA  - 2015/06
TI  - Local Economic Cost Sensitivity Analysis in the Application of Gas Emission
BT  - Proceedings of the 2015 International Conference on Management, Education, Information and Control
PB  - Atlantis Press
SP  - 377
EP  - 381
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-15.2015.68
DO  - 10.2991/meici-15.2015.68
ID  - Zhou2015/06
ER  -