@inproceedings{3873c7e291e542a19c53f23fedf42b1c,
title = "Approach to complex hydrogen reactor optimization modeling based on ANFIS",
abstract = "An innovative approach to hydrogen reactor modeling based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is proposed to improve the approximating and self-adaptive ability of existing models. To exert the information of the hydrogen reactor operation data for constructing the optimization model reasonably, the adaptive neural network algorithm is combined with the fuzzy logic inference mechanism and the subtractive clustering method. There are good agreements between the actual values and the ones obtained using the proposed model. The results show that the ANFIS model with high accuracy and few convergence epoches have the capability to be applied to engineering simulation applications.",
keywords = "ANFIS, Hydrogen reactor, Model",
author = "Bo Li and Zhengcai Cao and Min Liu and Jinghua Hao",
year = "2013",
month = nov,
day = "13",
doi = "10.1109/CCIS.2012.6664390",
language = "英语",
isbn = "9781467318556",
series = "Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012",
pages = "170--175",
booktitle = "Proceedings - 2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012",
note = "2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, IEEE CCIS 2012 ; Conference date: 30-10-2012 Through 01-11-2012",
}