RS-WNN-Based Study Of Coal Enterprises Management

Some key issues in coal enterprise development, including cost management, safety management and environment protecting management are analyzed and investigated in detail, and, thus, a suitable management mode for coal enterprises in China are proposed in this dissertation. To tackle cost management in coal enterprises the rough set theory and a wavelet neural network are introduced, cost formation with its influenced factors are analyzed, and an index system of production cost is set up, with a set of factors influencing cost of coal production obtained and a new method to forecast and control coal production cost proposed. Based on a real-world case study, a MATLAB-based intelligent forecast system is developed, and forecast of production cost in coal enterprises is made under different mining conditions and different management modes with satisfactory results. As a result, measures for cost control are proposed based on forecast and analysis of index weights, the management level and cost management level are evaluated, thereby the existing cost management level are improved. The proposed method based on the rough-set and wavelet neural network is of a new cost control, which can be a scientific reference of formation of target cost, cost control and cost evaluation.In view of the important role of safety management in coal enterprise, starting from the most important link, that is safety controlling, the safety index system of full machine-mining areas and an evalution model are set up, and forecast and evaluation of mining area safety with its influence factors is performed based on a wavelet neural network. In addition, in a real-world case study evaluation comparison between the newly proposed method and existing method, i.e. AHM, is made, showing that the former outperforms the latter and delivering a new method for safety management in coal enterprises.Finally, based on envirionment protection and management, energy saving and discharge reduction, some issues of envirionment protection and management are analyzed and, therefore, based on results of the case study measures in connection with green mining and pollution reduction are proposed in this dissertation.