SENSITIVITY
INVESTIGATION OF DEVELOPMENT PROGRAM AND MINING RISK AT A COAL MINE
L.N. Zacharova,
V.V. Nazimko
A stochastic model has been developed to
investigate sensitivity of a coal mining program. This model uses the
mathematical graph having vector weights that were calculated by sampling
procedure. Artificial neural network have been trained to determine stochastic
variation of entry driving and longwall advance
rates. Parameters of stochastic functions have been found for coal extraction
technology. Coal extraction project demonstrates maximum sensitivity to fault
destruction of the coal seams.
Key
words: Stochastic simulation, project management, risk,
sensitivity, neural network.