Predicting method of interannual variation of migratory center of gravity of squid in the north pacific

A method for predicting the interannual variation of the migratory center of gravity of squid in the north pacific ocean. Depending on the migratory capacity of the squid, the aggregate area of squidjigging fisheries and the navigational capacity of fishing vessels, the point with the highest yield is selected as the center of circle by month, and the circular sea area with radius of 1 degree isused as the migratory and gathering sea area of squid. By this method, the other two sea areas were selected as the migratory and gathering sea area of squid respectively. Three migratory and gathering sea areas and migratory center of gravity could be obtained in each month in flood season. Based on the cluster analysis, the minimum average center distance of the same species is selected as the classification, and the fixed migration center of each month is obtained. According to the monthly variation, the migration path of squid can be deduced. The BP neural network model is composed of three layers: an input layer,