Six main influencing factors： slope, aspect, distance, angle, angle of coal seam, and the ratio of depth and thickness, were selected by Grey correlation theory and Grey relational analysis procedure programmed by th...Six main influencing factors： slope, aspect, distance, angle, angle of coal seam, and the ratio of depth and thickness, were selected by Grey correlation theory and Grey relational analysis procedure programmed by the MATLAB software package to select the surface movement and deformation parameters. On this basis, the paper built a BP neural network model that takes the six main influencing factors as input data and corresponding value of ground subsidence as output data. Ground subsidence of the 3406 mining face in Haoyu Coal was predicted by the trained BP neural network. By comparing the prediction and the practices, the research shows that it is feasible to use the 13P neural network to predict mountain mining subsidence.展开更多
As the knowledge-intensive enterprise, the core competence of software enterprise is to master human resources of knowledge. But the unique human resource characteristic of software enterprise res^cts the management. ...As the knowledge-intensive enterprise, the core competence of software enterprise is to master human resources of knowledge. But the unique human resource characteristic of software enterprise res^cts the management. While it develops rapidly, there is great waste for human resource cost. By using the prediction model of human resources for software enterprise, the paper proposes the human resource strategic planning system model of software enterprise. The paper applies grey prediction to make empirical research on requirements of human resource for software enterprises, and uses Markov chain to analyze supply of human resources. According to the prediction results, the paper adjusts the imbalanced supply and demand, and proposes the human resources planning.展开更多
文摘Six main influencing factors： slope, aspect, distance, angle, angle of coal seam, and the ratio of depth and thickness, were selected by Grey correlation theory and Grey relational analysis procedure programmed by the MATLAB software package to select the surface movement and deformation parameters. On this basis, the paper built a BP neural network model that takes the six main influencing factors as input data and corresponding value of ground subsidence as output data. Ground subsidence of the 3406 mining face in Haoyu Coal was predicted by the trained BP neural network. By comparing the prediction and the practices, the research shows that it is feasible to use the 13P neural network to predict mountain mining subsidence.
文摘As the knowledge-intensive enterprise, the core competence of software enterprise is to master human resources of knowledge. But the unique human resource characteristic of software enterprise res^cts the management. While it develops rapidly, there is great waste for human resource cost. By using the prediction model of human resources for software enterprise, the paper proposes the human resource strategic planning system model of software enterprise. The paper applies grey prediction to make empirical research on requirements of human resource for software enterprises, and uses Markov chain to analyze supply of human resources. According to the prediction results, the paper adjusts the imbalanced supply and demand, and proposes the human resources planning.
