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Based On Neural Network Of Daqing Petroleum Industry Development Strategy Research

Posted on:2013-02-19Degree:MasterType:Thesis
Country:ChinaCandidate:Y S WangFull Text:PDF
GTID:2249330374454779Subject:Information Science
Abstract/Summary:PDF Full Text Request
The artificial neural network belongs to the intelligent information managementtechnology, their research has been involved in all areas of society, including high-profile oilfield. Daqing Oilfield as the largest oil production base in China, its future development isclosely related to China’s economic development. With the globalization of the oil industry, theworld’s oil resources and market competition and conflict becomes more intense, therefore,predict the development trend of the Daqing oil industry and master the oil industrydevelopment strategy is necessary to the decision-makers.In this paper, the status of the status quo and the oil industry at home and abroad artificialneural network analysis put forward in the Daqing oil industry, process technology andequipment, economic benefits, competitive pressures, interest groups that exist; use of modernmanagement and SWOT qualitative analysis method, based on the factor in the development ofthe oil industry, analysis of internal and external environmental conditions of the Daqing oilindustry, to determine in its development process, there are a large number of complexuncertainties, information collection and access to most of the non-numeric, no accurate, youneed to rely on artificial intelligence methods to identify and resolve; combination of computersoftware Matlab, based on artificial neural network intelligent BP neural network structure tobuild the Daqing oil industry forecasting model, intelligent information forecasting methods tosolve the Daqing oil industry of the development trend forecast to help the Daqing oil industryin a dominant position in market competition; Daqing Daqing oil Liu Chang case, the use of thebuilding industry the development of prediction models, to predict the future trends of the SixthFactory of Daqing oil; Daqing oil industry’s existing problems and future trends, resources,economic, social, environmental, technical, multiple perspectives, strategies for futuredevelopment of the Daqing oil industry, contribute to the Daqing oil industry is stable andcorrect development.
Keywords/Search Tags:Artificial intelligence, Daqing oil industry, strategy, prediction model
PDF Full Text Request
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