Forecast of Blasting Fragmentation Distribution Based on BP Neural Network

Hong Gao; Zhi Liang Fu

doi:10.4028/www.scientific.net/AMR.619.3

Paper Titles

Preface

Forecast of Blasting Fragmentation Distribution Based on BP Neural Network
p.3

Research on Nonlinear Dynamical Behaviors of Mine Hoist Transmission System under External Excitation
p.9

Study on Belt Conveyor Direct Driven by External-Rotor PMSM
p.14

Parametric Modeling of Transition Tube with Constant Section Area along Straight, Circular and Oblique Central Route on CATIA
p.18

Study on Mine Hoist Driven by PMSM of Low Voltage and Multi-Branch
p.22

Impact Dynamic Analysis of Horizontally Vibrated Conveyor with Coulomb Friction Modeling
p.26

Dynamic Characteristics of the Backhoe Excavator Bucket Based on Pro/E and ANSYS
p.30

Following Straightly Control Strategy and Testing for Split Platform in Roadway
p.34

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 619Forecast of Blasting Fragmentation Distribution...

Forecast of Blasting Fragmentation Distribution Based on BP Neural Network

Abstract:

The influence factors of rock blasting fragmentation distribution are analyzed, 10 main influence factors are selected from these. Using the MATLAB BP neural network model system to analyze blasting fragmentation distribution of +860 level face at Yi Chun tantalum-niobium mine, successfully predicted the blasting fragmentation distribution, it is favorable to design the blasting parameters and industrial production.

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Periodical:

Advanced Materials Research (Volume 619)

Pages:

3-8

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.619.3

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Online since:

December 2012

Authors:

Hong Gao, Zhi Liang Fu

Keywords:

Blasting Fragmentation, Blasting Parameters, BP Neural Network (BPNN), Forecast

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