Application of extreme learning machine (ELM) forecasting model on CO2 emission dataset of a natural gas-fired power plant in Dhaka, Bangladesh

Author:

Rahman MustafizurORCID,Rashid FaijunnesaORCID,Roy Sujit KumarORCID,Habib Md. AhosanORCID

Funder

Gazi Üniversitesi

Publisher

Elsevier BV

Reference6 articles.

1. G.-B. Huang, X. Ding, H. Zhou, Q.-Y. Zhu, L. Lekamalage, C. Kasun, H. Zhou, G.-B. Huang, C.M. Vong, G. Hinton, P. Vincent, Extreme learning machine for regression and multiclass classification, 2006. www.computer.org/intelligent.

2. Can threshold networks be trained directly?, ieee transactions on circuits and systems II;Bin Huang;Express Briefs,2006

3. Semi-supervised and unsupervised extreme learning machines;Huang;IEEE Trans. Cybern.,2014

4. Estimation of in-situ bioremediation system cost using a hybrid extreme learning machine (ELM)-particle swarm optimization approach;Yadav;J. Hydrol. (Amst),2016

5. Prediction of agricultural carbon emissions in China based on a GA-ELM model;Guo;Front Energy Res.,2023

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