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Based On RS-BP Neural Network Of Coal Enterprise Performance Evaluation Research

Posted on:2013-03-08Degree:MasterType:Thesis
Country:ChinaCandidate:Q Y WangFull Text:PDF
GTID:2249330395963160Subject:Management Science and Engineering
Abstract/Summary:PDF Full Text Request
Since the whole system of supervision and management of the coal market had a very significant change, Therefore, the performance evaluation of the coal enterprises have to establish a new management system, My country is a developing country, The performance management is relatively backward, The theory and practice is in the exploratory stage. Reasonable evaluation of enterprise performance management of coal can be rational, fair, efficient grasp of the true operating company level, Judge the results of the coal companies and managers of business value, encourage coal enterprises update to improve management, enhance effective global coal business. The study of the deep reform of China’s coal enterprises landmark step enrich the development of a practical significance.This article will be more reasonable analysis of the coal produced by the source of enterprise performance management, theorems, and various cost index factor, and analysis of the coal companies should pay attention to the management process, including technological innovation, sustainable development strategies, environmental governance and safety procedures. Secondly, on the basis of the existing comprehensive summary of the conclusions of a comprehensive response to the operation of the coal business management evaluation system, Thirdly, the use of RS-BP theory build the coal business management evaluation model. Finally, combining with the case in the MATLAB environment it achieve the model evaluation process, the conclusion and unascertained-AHM results are analyzed and compared, using to exam the validity of the model. In the case of the experiment, describe the specific method. The corresponding computer program was written, While for the case of model selection, choose the parameters and weights, BP neural network build the training set and other coarse-BP neural network model building process frequently occur in some cases are summarized and analyzed. Eventually show that, This method can be applied. This research provides the business community for the theory and a practical evaluation of the coal business performance management models and algorithms, To my country’s coal enterprises improvement of performance management have practical significance.
Keywords/Search Tags:Coal Enterprises, Performance Evaluation, Rough Set, BP neural network
PDF Full Text Request
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