Study On Supply And Demand Of Mineral Resources Based On Support Vector Machines

Mineral resources is the base of important material of social development andnational economy, the consumption of mineral resources determines of the nationaleconomy’s development speed, therefore, it’s of great significance to study the balancebetween supply and demand in the sustainable development strategy. As the mainoutput of national mineral resources area, mineral resource-based city has a strongstrategic position in national economy development. So it plays an important role in thedevelopment of mineral resource-based city itself to strengthen the research on themineral resources supply and demand of mineral resource-based city.Firstly, this article introduces and analyzes the main mineral resources supply anddemand forecasting methods. Secondly, based on this, from the statistical learningtheory, support vector machines (SVM) theory and its application are introduced. Thispaper analyzes the research hot issues of support vector machine (SVM) method, andfocuses on the least squares support vector machine (SVM) algorithm and itsparameters optimization theory. Thirdly, to verify the performance of support vectormachine, this paper uses support vector machine (SVM) method to operate thesimulation experiment. The result shows that this method has a strong anti-interferenceability Fourthly, this article applies it to Pan Zhihua’s resources supply and demandforecast, and analyzes and the discusses about the prediction results,the time sequence,the gray forecasting model and consumption elasticity coefficient method.Lastly, itstudies countermeasures and suggestions on the mineral resources supply and demandbalance of Pan Zhihua.In this paper, mineral resources supply and demand prediction results based onsupport vector machine (SVM) has little difference with test data,the algorithm hasgood stability, reliable prediction results, so it further broadens the application range ofthe support vector machine (SVM), and has a important practical significance.