Wolf is Coming-Dynamic Classification Prediction Model of Vespa Mandarinia

摘要

Given the threat of Vespa mandarinia invasion to ecological balance,ac­cording to the data and information provided,the dynamic reproduction model of Vespa mandarinia is established by using natural domain inter­polation,and the variation law of total bumblebee with time,latitude,and longitude is obtained.At the same time,we established the classification prediction model by using a neural network and established the mapping relationship between time and space to evaluation grade.We meshed the area provided by the title,assigned values to the location of Vespa mandarinia(VM),and established a VM diffusion model with natural neighborhood interpolation.Its propagation process is simulated by cellular automata.It is determined that VM spreads in a circular shape centered at(122.93174°W,48.93457°N)and(122.57376°W,49.07848°N)in the Washington area,with the farthest distance being 1184.4 km and 985 km respectively.We set up a classification prediction model for better classification.Ac­cording to the image upload time and location,SVM and neural network are used for classification prediction,and the classification accuracy is 74.26%and 97.60%,respectively,and the neural network has higher clas­sification accuracy.So we choose the neural network.