Prediction Of The Logistics Demand Of The City Of Poyang Lake Based On Genetic Algorithm Neural Network

In the continuous innovation and development of the integration of the development of the world economy and information technology,and promote the theory of supply chain management for a long time optimization,worldwide logistics industry is developing rapidly at present,all countries in the world are very heavy industry development flow,and took it as an important sign can highlight the national modernization level and comprehensive strength.Especially make great progress in logistics related theoretical knowledge,technology and other aspects,each country will logistics industry positioning for the development of the entire national economy foundation and the aorta,all countries in the economic development of the new environment and new growth point of pulling power.As an important part of the modern logistics industry of regional logistics development level,it can reasonably steady development of regional economy,plays a vital role,so regional logistics planning for regional economy play a supporting role,at the same time forecast of regional logistics also has crucial influence to regional planning.However,due to the relatively late start of China's logistics industry,the relevant historical data in the process of logistics demand forecasting is not much,and does not fully meet the scientific rationality.At the same time between the impact factor and the regional economy regional logistics is the nonlinear relationship,so the use of traditional forecasting methods(linear regression,time series forecasting model)can not be considered accurate and effective results of the material flow.So in the face of the data quantity,lack of regional logistics forecast index is not clear these problems,how to choose a reasonable and effective forecasting method for scientific and reasonable logistics has become a priority among priorities at present.With the continuous development of information technology,more and more algorithms continuously,genetic algorithm,calculation method,support vector machine,can help to deal with some nonlinear data,and provides a new way for the logistics forecasting.In order to predict the regional logistics volume scientifically and rationally,it can provide the necessary reference for the government to formulate the macro policies and policies to promote the economic development and the decision-making behavior of the infrastructure construction of the logistics industry.The investigation and analysis of the premise in the study of current situation of logistics at home and abroad,on the basis of the relationship between regional logistics demand and regional economy,an important factor analysis concluded that 6 Influence of regional logistics,constructing forecasting index,through the comparative study of the BP neural network with the traditional genetic algorithm the prediction results,the feasibility of predicting genetic verification the neural network in the area of logistics.