Farm Price Data Mining And Tendency Forecast Model Research

China is a leading agricultural nation. With the market opening to the outside world step by step, the global economic integration process is faster and faster. The competition within production, circulation and operation of agricultural products is heating up. At the same time, China is a major cotton-producing country, National economic crop sown area accounts for about 1 / 4 of the cotton farming has become second only to China's staple agricultural products of food. Cotton supply and demand balance is not only related to the entire agricultural production chain, and will further affect the income of the farmers, as well as the development of China's cotton textile industry. So it to become China's national economy and social development.In this six-wave market, the futures prices are ahead of schedule reflects the changes in market supply and demand. Adopting the neural network method, by using of nervecell adatping and learning, according to the factors that affect the cotton prices and price forecasts should be guided by the rule ,the dynamic model of cotton price is built. The internaland externalfactors which affectcottonprice are givensystematic discussion from macro—economic. We have chosen as a study of cotton varieties, according to the above analysis, the system based on a comprehensive selection of indicators, flexible practicality, the principles of scientific. Considering all factors, the final choice of 10 cotton prices on the impact of influencing factors, the establishment of price forecasts for the initial establishment of evaluation index system of cotton price fluctuations of the dynamic model. Use SPSS analysis systematic analysis of China's cotton market development and changes of internal and external factors and price changes.The main reasonsare analyzed, based on the developing rule of cotton rale maket and the main characteristic, analysising and forecasting of China's cotton price trend ,and theadvicesofpolicy are putforward. The research on cotton industry and its price change is significant to immediate interest of billions of people as cotton growers, middlemen and cotton spinning enterprises.