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Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm

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Abstract

Air overpressure (AOp) produced by blasting is one of the environmental hazards of mining operations. Accordingly, the accurate prediction of AOp is very important, and this issue requires the application of appropriate prediction models. With this in view, this paper aims to propose a new data-driven model in the prediction of AOp using a hybrid model of fuzzy system (FS) and firefly algorithm (FA). This combination is abbreviated as FS-FA model. The used data-sets in the proposed FS-FA model were arranged in a format of three input parameters. In total, 86 sets of the mentioned parameters were prepared. To avoid over-fitting, the data-sets were divided into two parts of training (80%) and test sets (20%). Three quantitative standard statistical performance evaluation measures, variance account for (VAF), coefficient correlation (R2) and root mean squared error (RMSE), were used to check the accuracy of the FS-FA model. According to the results, the R2 and RMSE values obtained from the proposed FS-FA model were equal to 0.977 and 1.241 (for testing phase), respectively, which clearly demonstrate the merits of the proposed FS-FA model. In other words, the obtained R2 and RMSE show that FS-FA model has high prediction level in the modeling of blast-induced AOp.

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Acknowledgements

This research is partially supported by the National Natural Science Foundation Project of China (Grant No. 41807259), the State Key Laboratory of Safety and Health for Metal Mines (Grant No. 2017-JSKSSYS-04), the Shenghua Lieying Program of Central South University (Principle Investigator: Dr. Jian Zhou).

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Authors and Affiliations

  1. School of Resources and Safety Engineering, Central South University, Changsha, 410083, China

    Jian Zhou

  2. State Key Laboratory of Safety and Health for Metal Mines, Maanshan, 243000, China

    Jian Zhou

  3. Department of Computer Engineering, Mashhad Branch, Islamic Azad University, Mahshad, Iran

    Atefeh Nekouie

  4. Civil Engineering Department, College of Engineering, Kirkuk University, Kirkuk, Iraq

    Chelang A. Arslan

  5. Institute of Research and Development, Duy Tan University, Da Nang, 550000, Vietnam

    Binh Thai Pham

  6. Department of Mining Engineering, University of Kashan, Kashan, Iran

    Mahdi Hasanipanah

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  1. Jian Zhou
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  2. Atefeh Nekouie
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  3. Chelang A. Arslan
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  4. Binh Thai Pham
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  5. Mahdi Hasanipanah
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Correspondence to Binh Thai Pham or Mahdi Hasanipanah.

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Zhou, J., Nekouie, A., Arslan, C.A. et al. Novel approach for forecasting the blast-induced AOp using a hybrid fuzzy system and firefly algorithm. Engineering with Computers 36, 703–712 (2020). https://doi.org/10.1007/s00366-019-00725-0

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