Forecast of Blasting Fragmentation Distribution Based on BP Neural Network-Reference-Cited by-同舟云学术

Forecast of Blasting Fragmentation Distribution Based on BP Neural Network

Published:2012-12 Issue: Volume:619 Page:3-8
ISSN:1662-8985
Container-title:Advanced Materials Research
language:
Short-container-title:AMR

Author:

Gao Hong¹,Fu Zhi Liang¹

Affiliation:

1. Anhui University of Science and Technology

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.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Link

https://www.scientific.net/AMR.619.3.pdf

Reference10 articles.

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3. Huang Zhihui. Study on Determination and Optimization of the Bench Blasting Fragmentation Distribution [D]. Huaqiao university，(2005).

4. Wang Guoli, Shen Yingfeng, Guo Binruo. Blasting Effect Predicted By Artificial Neural Net System [J]. MINING & MET ALLURGY，2002, 11(2): 12–15.

5. Guo Liqun. Artificial neural network theory, design and application[M]. Bei Jing: Chemical industry press，(2002).

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