Prediction of Coal Ash Fusion Characteristics of Blending Coals for Gasification Based on Genetic Algorithm and BP Neural Network

DOI

10.2991/ifeesm-15.2015.164How to use a DOI?

Keywords

coal ash fusion characteristics BP neural network genetic algorithm

Abstract

For the problem that prediction of coal ash fusion characteristics of blending coals for gasification,using genetic algorithm (GA) to optimize BP neural network on two aspects. Firstly, optimizing hidden layer nodes by binary coding,and getting the best optimal topology of network.Then using real encoding to optimize the network parameters.The optimization results are assigned to the network as initial weights and thresholds,and establishing GA-BP network prediction model.Combined with traditional BP network to do simulation experiment simultaneously.The results show that the prediction of GA-BP network is higher than traditional BP network.Appling it on the prediction of coal ash fusion characteristics of blending coals for gasificationt is feasible and 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  - Fu-sheng Yang
AU  - Ben-long Wei
AU  - An-ning Zhou
AU  - Min-qun Lin
AU  - Hui-jun Zhang
AU  - Hao Wang
AU  - Yun-huan Jing
AU  - Lei Yang
AU  - Le-bo Ma
PY  - 2015/09
DA  - 2015/09
TI  - Prediction of Coal Ash Fusion Characteristics of Blending Coals for Gasification Based on Genetic Algorithm and BP Neural Network
BT  - Proceedings of the 2015 International Forum on Energy, Environment Science and Materials
PB  - Atlantis Press
SP  - 893
EP  - 896
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeesm-15.2015.164
DO  - 10.2991/ifeesm-15.2015.164
ID  - Yang2015/09
ER  -