Study On Prediction Of Iron Ore Demand In China Based On Gray Correlation Degree With Neural Network

Iron mineral resources are found very early,very versatile,very large amount of the world asa mineral resources,iron ore resources consumption accounted for more than95%in the humanuse of metal mineral resources.ore is an important mineral resources, mainly used for smeltingsteel and iron, but also can be used for ammonia synthesis catalyst, natural pigment, feedadditives and precious stones. As the final product of steel iron ore is the basic resources ofnational economic development, is widely used in various sectors of the national economy, is themost widely used, most people use the indispensable material. People often think of a nationalsteel output, variety, quality, consumption as an important indicator to measure the nationalindustrial and Technological Development level. Iron ore resources also an irreplaceableimportant role in the development of human society, how to ensure the safe supply of ironmineral resources to guarantee economic stability development, is an urgent need to think andsolve problems.This thesis studies China’s demand for iron mineral resources over the next decade, withgray relational theory, BP neural network theory, demand elasticity theory as the maintheoretical support, access to a large amount of iron in the mineral resource demand forecastingand security related domestic and foreign depth analysis of the literature-based approaches.Defines the concept of security of mineral resources, the distribution and characteristics ofChina’s iron mineral resources, study the situation of China’s iron ore exploitation of the mineralresources industry and the problems introduced iron ore demand forecasting some basic theoriesand methods. Gray relational theory of iron mineral resource demand factors were analyzed,obtained through the analysis of China’s urbanization rate is the most important factor affectingdemand for iron mineral resources. BP neural network method and demand elasticity coefficientmethod for the next decade, China’s demand for iron ore was predicted by predictive analytics toget serious gap between China’s iron ore demand and production. To address the gap betweensupply and demand of iron mineral resources, to protect the safety of China’s iron mineralresources from the domestic iron ore resources development and utilization of iron ore resourcesin the world of competitive strategy, international iron ore pricing competitive strategy,investment risk management of overseas iron ore four strategies put forward the correspondingsolutions and strategic measures.