Predicting and Minimizing the Blasting Cost in Limestone Mines Using a Combination of Gene Expression Programming and Particle Swarm Optimization
نویسندگان
چکیده
منابع مشابه
Prediction of Blasting Cost in Limestone Mines Using Gene Expression Programming Model and Artificial Neural Networks
The use of blasting cost (BC) prediction to achieve optimal fragmentation is necessary in order to control the adverse consequences of blasting such as fly rock, ground vibration, and air blast in open-pit mines. In this research work, BC is predicted through collecting 146 blasting data from six limestone mines in Iran using the artificial neural networks (ANNs), gene expression programming (G...
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In geotechnical engineering, rock mechanics and engineering geology, depending on the project design, uniaxial strength and static Youngchr('39')s modulus of rocks are of vital importance. The direct determination of the aforementioned parameters in the laboratory, however, requires intact and high-quality cores and preparation of their specimens have some limitations. Moreover, performing thes...
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ژورنال
عنوان ژورنال: Archives of Mining Sciences
سال: 2023
ISSN: ['0860-7001', '1689-0469']
DOI: https://doi.org/10.24425/ams.2020.135180