Prediction method of abundance of pelagic squid resources based on gray system

摘要

A grey system-based pelagic squid resource richness forecasting method, characterized in comprising the following steps: step one: utilizing a method for grey relational analysis, calculating to acquire the grey correlation magnitudes of impact factors of pelagic squid resource richness; step two: selecting an impact factor having a high grey correlation as a factor for a resource richness forecast model; step three: utilizing a discrete GM model, employing the factor selected in step two to establish pelagic squid resource richness forecast models; step four: performing an effectiveness analysis with respect to the forecast models of step three, the effectiveness analysis comprising relative error and correlation coefficient analyses, and selecting the model of least relative error and greatest correlation coefficient as the most suitable forecast model. The method employs a grey system for forecasting squid resource richness to achieve an accuracy of 90% or more, and provides a reference value for fishery production practices and scientific management.