【摘 要】
：
Fault recognition and coal seam thickness forecast are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include minin
【出 处】
：
Journal of China University of Mining & Technology
论文部分内容阅读
Fault recognition and coal seam thickness forecast are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include mining engineering, mine geology, seismic prospecting etc, was used synthetically. Artificial neural network was combined with genetic algorithm to found integrated AI method of genetic algorithm artificial neural network(GA ANN). Fault recognition and coal seam thickness forecast were carried to completion by case studies. And the research results are satisfactory.
Fault recognition and coal seam thickness forecasts are important problems in mineral resource prediction. Knowledge of multiple disciplines, which include mining engineering, mine geology, seismic prospecting etc etc., was used synthetically. Artificial neural network was combined with genetic algorithm to found integrated AI method of Genetic algorithm artificial neural network(GA ANN). Fault recognition and coal seam thickness forecasts were carried to completion by case studies. And the research results are satisfactory.
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