The Forcast Study Of Logistics Cost Of Coal Enterprise Based On Neural Network

With the starting and development of the logistics science in our country, people unceasingly to enhance the degree that about logistics cost, to reduce the logistics cost has already become an important task of the enterprise. The logistics cost accounts for a very big part of the coal production cost, to research the logistics cost of coal enterprise has much more important significance to enhance the economic efficiency and the competitive ability of the coal enterprise.Firstly, this article begins with the research of the coal enterprise logistics system, and points out the composition, the characteristic, the existent questions of the logistics system of the coal enterprise and the relations that between the logistics system and the logistics cost. After that it researches the logistics cost of the coal enterprise, points out the characteristic, the composition as well as the influencing factors of the logistics cost, and use the level analysis method to arrange major influencing factors in line, this step lays the foundation for the modeling. Finally, the core part of this article conducts the detailed research about the forecasting of the logistics cost of the coal enterprise. aiming at the major influencing factor of the logistics cost of coal enterprise as well as the non-linear characteristic of the coal enterprise logistics cost and the superiority that the neural network has in the solution of complex nonlinear system question, propos to use the BP neural network to do the forecasting of the logistics cost, establishs the forecast model of the logistics cost and do simulation and forecasting by frondose dates, the result indicates the precision of this forecast method is high, the convergent rate is quick, is one feasible forecast method.