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Author: Manoj Khandelwal

Affiliation: Maharana Pratap University of Agriculture and Technology, India

Keyword(s): Safe Explosive Charge, Blast Vibration Predictors, Artificial Neural Network.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Enterprise Information Systems ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Informatics in Control, Automation and Robotics ; Intelligent Control Systems and Optimization ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: The present paper mainly deals with the prediction of maximum explosive charge used per delay (QMAX) using artificial neural network (ANN) incorporating peak particle velocity (PPV) and distance between blast face to monitoring point (D). 150 blast vibration data sets were monitored at different vulnerable and strategic locations in and around major coal producing opencast coal mines in India. 124 blast vibrations records were used for the training of the ANN model vis-à-vis to determine site constants of various conventional vibration predictors. Rest 26 new randomly selected data sets were used to test, evaluate and compare the ANN prediction results with widely used conventional predictors. Results were compared based on coefficient of correlation (R) and mean absolute error (MAE) between calculated and predicted values of QMAX.

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Paper citation in several formats:
Khandelwal, M. (2014). Evaluation of Safe Explosive Charge in Surface Mines using Artificial Neural Network. In Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-015-4; ISSN 2184-433X, SciTePress, pages 366-371. DOI: 10.5220/0004761703660371

@conference{icaart14,
author={Manoj Khandelwal.},
title={Evaluation of Safe Explosive Charge in Surface Mines using Artificial Neural Network},
booktitle={Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2014},
pages={366-371},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004761703660371},
isbn={978-989-758-015-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Evaluation of Safe Explosive Charge in Surface Mines using Artificial Neural Network
SN - 978-989-758-015-4
IS - 2184-433X
AU - Khandelwal, M.
PY - 2014
SP - 366
EP - 371
DO - 10.5220/0004761703660371
PB - SciTePress

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