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Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm

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Abstract

This paper is aimed to develop and verify a novel hybrid intelligent model, which is indeed a new version of GMDH algorithm and named generalized structure of GMDH (GS-GMDH) to solve engineering problems. The proposed GS-GMDH model was validated its capability of predicting blast-induced ground vibration, a very important safety issues in the mining industry. For this regard, a data set with a totally of 96 samples was gathered from a blasting site in Shur River Dam region, Iran. Among them, 67 and 29 samples were used for constructing and testing the model, respectively. To check the accuracy and robustness of the proposed algorithm, the values of the performance evaluation measures, i.e., R2, variance accounted for (VAF), mean absolute error, root mean square error, scatter index, and Nash–Sutcliffe model efficiency (EN–S), were used. The results showed the efficiency of the GS-GMDH algorithm in the prediction of the blast-induced ground vibration. It was also confirmed that the proposed algorithm can be applied effectively to solving/predicting the engineering problems and it has also the potential to be generalized to other fields.

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Author information

Authors and Affiliations

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

    Danial Jahed Armaghani

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

    Mahdi Hasanipanah

  3. School of Mining, College of Engineering, University of Tehran, Tehran 11155-4563, Iran

    Hassan Bakhshandeh Amnieh

  4. Geographic Information Science Research Group, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Dieu Tien Bui

  5. Faculty of Environment and Labour Safety, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Dieu Tien Bui

  6. Department of Civil Engineering, K.N Toosi University of Technology, Tehran, Iran

    Peyman Mehrabi

  7. Universidad UTE, Facultad de Arquitectura y Urbanismo, Calle Rumipamba s/n y Bourgeois, Quito, Ecuador

    Majid Khorami

Authors
  1. Danial Jahed Armaghani
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  2. Mahdi Hasanipanah
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  3. Hassan Bakhshandeh Amnieh
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  4. Dieu Tien Bui
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  5. Peyman Mehrabi
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  6. Majid Khorami
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Correspondence to Dieu Tien Bui.

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Jahed Armaghani, D., Hasanipanah, M., Bakhshandeh Amnieh, H. et al. Development of a novel hybrid intelligent model for solving engineering problems using GS-GMDH algorithm. Engineering with Computers 36, 1379–1391 (2020). https://doi.org/10.1007/s00366-019-00769-2

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