Blasting, Volume. 39, Issue 3, 199(2022)

Prediction of Flyrock distance in Open-pit Deep Hole Blasting under Karst Geology

WANG zhen-yi1, LI Jing1, QIAN Zhi-qiao2, and Xiao-qiang1
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(5)

    [2] [2] ANDERSON D.A method site-specific prediction and control of ground vibration from blasting[J].Proc 1st Symposia On Explosive and Blasting Research,1985:28-42.

    [8] [8] CIGIZOGLU HK,KIS OZR.Flow prediction by three back propagation techniques using k-fold partitioning of neural network training data[J].Nord Hydrol,2005,36:49-64.

    [10] [10] NEAUPANEA KM,ACHET SH.Use of backpropagation neural network for landslide monitoring:a case study in the higher Himalaya[J].Engineering Geology,2004,74(3):213-226.

    [12] [12] CHANDOK JS,KAR IN,TULI S.Estimation of furnace exit gas temperature(FEGT) using optimized radial basis and backpropagation neural networks[J].Energy Conversion and Management,2008,49(3):1989-1998.

    [14] [14] BUDZINSKI R C,LOPES S R,MASOLLER C.Symbolic analysis of bursting dynamical regimes of Rulkov neural networks[J].Neurocomputing,2021,441:44-51.

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    WANG zhen-yi, LI Jing, QIAN Zhi-qiao, Xiao-qiang. Prediction of Flyrock distance in Open-pit Deep Hole Blasting under Karst Geology[J]. Blasting, 2022, 39(3): 199

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    Paper Information

    Received: Jun. 4, 2022

    Accepted: --

    Published Online: Jan. 25, 2024

    The Author Email:

    DOI:10.3963/j.issn.1001-487x.2022.03.029

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