PREDICTION AND OPTIMIZATION OF A DESULPHURIZATION SYSTEM USING CMAC NEURAL NETWORK AND GENETIC ALGORITHM

Zhiwei Kong, Yong Zhang, Xudong Wang, Yueyang Xu, Baosheng Jin

Open source

DOI: 10.3846/jeelm.2020.12098
Published: 2020-04-07
Container: Journal of Environmental Engineering and Landscape Management
Publisher: Vilnius Gediminas Technical University
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3846/jeelm.2020.12098,
  title = {PREDICTION AND OPTIMIZATION OF A DESULPHURIZATION SYSTEM USING CMAC NEURAL NETWORK AND GENETIC ALGORITHM},
  author = {Zhiwei Kong and Yong Zhang and Xudong Wang and Yueyang Xu and Baosheng Jin},
  year = {2020},
  journal = {Journal of Environmental Engineering and Landscape Management},
  doi = {10.3846/jeelm.2020.12098},
  url = {https://doi.org/10.3846/jeelm.2020.12098}
}

RIS

TY  - JOUR
TI  - PREDICTION AND OPTIMIZATION OF A DESULPHURIZATION SYSTEM USING CMAC NEURAL NETWORK AND GENETIC ALGORITHM
AU  - Zhiwei Kong
AU  - Yong Zhang
AU  - Xudong Wang
AU  - Yueyang Xu
AU  - Baosheng Jin
PY  - 2020
JO  - Journal of Environmental Engineering and Landscape Management
DO  - 10.3846/jeelm.2020.12098
UR  - https://doi.org/10.3846/jeelm.2020.12098
ER  -

APA

Kong, Z., Zhang, Y., Wang, X., Xu, Y., & Jin, B. (2020). PREDICTION AND OPTIMIZATION OF A DESULPHURIZATION SYSTEM USING CMAC NEURAL NETWORK AND GENETIC ALGORITHM. Journal of Environmental Engineering and Landscape Management. https://doi.org/10.3846/jeelm.2020.12098

Source records

crossref · retrieved 2026-09-25T14:16:10.974Z