Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Research on the Method of Gas Emission Prediction Using Improved Grey RBF Neural Network Model

Version 1 : Received: 28 October 2020 / Approved: 29 October 2020 / Online: 29 October 2020 (13:22:44 CET)

A peer-reviewed article of this Preprint also exists.

Yang, Y.; Du, Q.; Wang, C.; Bai, Y. Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model. Energies 2020, 13, 6112. Yang, Y.; Du, Q.; Wang, C.; Bai, Y. Research on the Method of Methane Emission Prediction Using Improved Grey Radial Basis Function Neural Network Model. Energies 2020, 13, 6112.

Abstract

Effectively avoiding gas accident is vital to the security of mineral manufacture, and the coal mine gas accident is often caused by gas concentration overrun. The prediction accuracy of gas emission quantity in coal mine is the key to solve this problem. To maintain concentration of gas in a secure range,grey theory and neural network model increasingly diffusely used in forecasting gas emission quantity in coal mine critically. Nevertheless, the limitation of the grey neural network model is that researchers merely bonded the conventional neural network and grey theory. To enhance accuracy of prediction, a modified grey GM(1,1) and RBF neural network model is proposed combined amended grey GM(1,1) model and RBF neural network model. Then the proposed model was put into simulation experiment which is built based on Matlab software. Ultimately, conclusion of the simulation experiment verified that the modified grey GM(1,1) and RBF neural network model not only boosts the precision of prediction, but also restricts relative error in a minimum range. This showed that the modified grey GM(1,1) and RBF neural network model achieves effectiveness in precision of prediction much better than grey GM(1,1) model and RBF neural network model.

Keywords

Gas emission prediction; grey theory; RBF neural network model; improved grey RBF neural network model

Subject

Engineering, Automotive Engineering

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