application of genetic engineering in coal mining

CDC - Mining - Development and Application of the Coal Mine

The Coal Mine Roof Rating (CMRR) was developed 10 years ago to fill the gap between geologic characterization and engineering design. It combines many years of geologic studies in underground coal mines with worldwide experience with rock mass classification systems.

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Faculty of Mining and Petroleum Engineering » Genetic studies of stony coal in coal seams of several coal

During mining, the silicified coals are difficult to be recognized by operator. They could damage the excavator bucket and crusher equipment, so that lowering mining productivity and efficiency. Although the presence of silicified coals in Indonesia has been widely known, they have been less studied especially by mean of coal geology.

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Surface Subsidence Prediction Method for Coal Mines with

1 School of Mines, China University of Mining and Technology, Xuzhou 221116, China. 2 State Key Laboratory of Coal Resource and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China. 3 State Key Laboratory of Groundwater Protection and Utilization in Coal Mining, China Energy Group, Beijing 100011, China. 4 Disaster Prevention Research Institute, Shaanxi Changwu Tingnan

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An incorporate genetic algorithm based back propagation

Sep 01, 2009 · To overcome these problems, a new method of coal and gas outbursts intensity prediction by Incorporate Genetic Algorithm Based Back Propagation Neural Network (IGABP) is applied to determine parameters of BPNN automatically and propose an efficient GA which reduces its iterative computation time for enhancing the training capacity of BPNN.

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PDF Coal mine methane: A review of capture and utilization practices with

Effects of faults in coal bed on mining, mining gas emissions, and degasication Coal mine methane has always been considered as a danger for underground coal mining as it can create a However, application of these techniques requires knowledge of those operational factors that control gas

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Application of Genetic Algorithm to Optimize the Equipment of Coal

The case of application proves that the genetic algorithm can better optimize the number and size of equipments in coal mine. Discover the world's research 17+ million members

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Nonlinear programming and genetic search application for

Production and transportation cost estimates were obtained from independent coal mines in Illinois, Virginia, and Pennsylvania, and based on these estimates, a hypothetical model was developed and tested using genetic search for nonlinear optimization. The results of our tests indicate that the model has potential for decision support in coal

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Ground Engineering - Principles and Practices for Underground

This book teaches readers ground engineering principles and related mining and risk management practices associated with underground coal mining. It establishes the basic elements of risk management and the fundamental principles of ground behaviour and then applies these to the essential building blocks of any underground coal mining system

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1. Introduction - Hindawi

An efficient genetic algorithm with uniform crossover for air traffic control Computers & Operations Research 2009 36 1 245 259 10.1016/j.cor.2007.09.005 2-s2.0-44849133187 34 Pendharkar P. C. Rodger J. A. Nonlinear programming and genetic search application for production scheduling in coal mines Annals of Operations Research 2000 95 1 251 267

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PDF Development and Application of the Coal Mine Roof Rating

The Coal Mine Roof Rating (CMRR) was developed 10 years ago to fill the gap between geologic characteriza-tion and engineering design. It combines many years of geologic studies in underground coal mines with world-wide experience with rock mass classification systems. Like other classification systems, the CMRR begins with

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