Argentine shortfin squid central fishery prediction method

The invention relates to an Argentine shortfin squid central fishery prediction method. The method includes the steps of time-space scale setting, environmental factor setting and central fishery prediction model building. According to the time-space scale setting step, three levels of spatial scales and two levels of time scales, namely, a weekly scale and a monthly scale are adopted. According to the environmental factor setting step, sea surface temperature (SST) is adopted as a main environmental factor, and two environmental factors, namely sea surface height (SSH), and chlorophyll a (Chl-a), are used in an auxiliary manner, and the environmental factors are divided into four types when a central fishery prediction model is established; and a sample scheme set about 24 conditions is established according to the setting conditions of the time-space scales and the environmental factors. A classical error back propagation (BP) neural network model is adopted as the central fishery predicting model, and the