The Feasibility Study Of Alculating The Ridge Coefficient In E’xi Area Coefficient By Using Neural Network Model

The 19th CPC National Congress pointed out that,the economy should move from the stage of high growth to the stage of high quality development,we need to develop a modern economic system that is of first quality and benefit priority.On the premise of high quality development,how to upgrade the land resources?Land resources is important in the supply side,the basic conditions of cultivated land in China can be summarized as:there is a large amount of arable land,less farmland per capita,less arable land and less arable land[2].To protect the quantity and quality of cultivated land,the prerequisite is to know the status of the cultivated land in China.And the cultivated land area is a statistic index of the current status of cultivated land,its accuracy is our research direction.The calculation results ridge coefficient directly affects the accuracy of cultivated land area,thereby affecting the accuracy of grain production statistics.The calculation results of Coefficient of Raised Path through Fields(CRPF)directly affects the accuracy of cultivated land area,thereby affecting the accuracy of grain production statistics.The calculation of the current CRPF,either by the traditional practice of"discipline",or by combining DEM data with DOM data,to determine the work flow model and the calculated ridge plots,analyzed and compared according to the coefficient of the second land survey and investigation of the previous CRPF.Land use is an important task is to identify the updating investigation of the existing cultivated area,and the CRPF is an important index of arable land statistics.Is the original CRPF conforming to the status quo?Is that reasonable?A large extent affects the statistical results of cultivated land area.Therefore,the correct determination of CRPF and determine a line with the status quo of land use and reasonable CRPF to carry out the investigation of land renewal is of great significance.A large number of observations showed that in mountainous area and hilly area of CRPF is basically the same,meet the requirements of the effective regulation of CRPF were significantly less than normal,each quadrat Ridge Coefficient of concentration is significantly lower.Partition CRPF the current practice is not perfect,only in accordance with the land distribution and topography similar partition is not scientific,so the current partition method needs to be improved,or even cancel the partition.Using the software of ARCGIS and SPASS.Taking the whole land of Yunxi County in Shiyan as the research object and uses the data of change survey,the quality of cultivated land and so on.In the case that the "discipline" requirements of the CRPF calculation process is unchanged.several key processes are improved,and finally obtain the corresponding predictive value.First,extract effective layer from changing survey data and cultivated land quality data,and standardize and merge the map layer,and get our whole research object.Then starting from several conditions of ridge coefficient influence factor for the study to determine the irrigation guarantee rate,soil erosion and soil organic matter content,topography and other 7 factors;Finally,the correlation between the factors and the coefficient is analyzed.However,the existing partitioning method is too one-sided and does not take into account other factors other than terrain slope.Therefore,I use the specific clustering method to optimize the original cultivated land area and obtain the new partition.Then,on the basis of the new partition,the Neural network analysis method is used to train a sample several times to obtain the ideal model.By using the model to estimate the values of other samples,the predicted value of the CRPF of whole field in Yunxi county was obtained.And then finally using the confidence interval,verify the predicted values,the accurate prediction of this paper is obtained and it has certain practical significance.The results show that the current farmland coefficient is more general.Yunxi county has a complex terrain,and the quality of cultivated land varies greatly from area to area,but the cultivated land area is relatively unitary.Through the exploration of this article,using the large data platform of land and resources,using an optimized workflow,using a specific mathematical model,we can make the calculation of ridge coefficient more accurately the actual.