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The Research On The Credit Problems Of Mining Enterprises Based On BP Neural Network

Posted on:2015-06-04Degree:MasterType:Thesis
Country:ChinaCandidate:T LiFull Text:PDF
GTID:2309330452468082Subject:Mining engineering
Abstract/Summary:PDF Full Text Request
As a pillar industry of the national economy, the development of the miningenterprises will have a significant impact on the sustainable development of theeconomy. With the rapid development of our economy, the demand for mineralresources aggravated the market supply and demand contradiction. However,in theproduction process, the mining enterprises pursuit the economic interests, and ignorethe enterprise credit construction, leading to the poor management of the mineenterprise production. Due to the lack of credit, the discreditable behavior related tothe mine enterprises caused bad contract performance and accidents occurred fromtime to time, which have a serious impact on the healthy development of the miningindustry. In order to ensure the production management of mine enterpriseswell-organized, the construction of the credit system of mining enterprise will be veryimportant.This paper explore the influence factors of mining enterprise credit system firstly,then analyze the impact factors of the credit risk of mine enterprise productionsystematically, combined with the literature, expert evaluation and other methods, thefinal index system of credit evaluation are determined. Secondly, select method. Theaccuracy of the evaluation result is the most important index to measure theevaluation system, therefore the method selection will be essential, through thecomparison of the evaluation methods of enterprise credit used by other scholars, theresearch confirm to use the method of BP neural network, and elaborate on how toestablish the mine enterprise credit evaluation model with BP neural network. Finally, according to the selected index, establish the credit evaluation model basedon BP neural network, through the training of the study samples, the validity of themodel will be determined.Through the credit evaluation of the mining enterprise, it will provide the helpfuldecision for the mining enterprise development, to ensure the mining enterpriseproduction develop healthy and orderly. It is also very beneficial for the supervisionof the government’s functional departments. According to the mining enterprise creditlevel, it will put forward the corresponding management means and policies fordifferent enterprises. Through the establishment of the credit system of the mine, itcan promote the development of mining enterprise credit, regulate the competitionorder in national mining market, improve the brand awareness of the miningenterprise and promote the healthy development of the mining enterprise.
Keywords/Search Tags:mining enterprise, credit, index system, BP neural network
PDF Full Text Request
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