Image recognition method based on gradient-guided evolutionary algorithm

The invention discloses an image recognition method of an evolutionary algorithm based on gradient guidance. The method mainly comprises the following steps: 1, acquiring image samples to construct a training sample data set; 2, a parent population is initialized, a gSBX operator is used for the parent population in the mating selection process to obtain a filial population, the parent population is added into the filial population, non-dominated sorting is conducted on the filial population, and a plurality of first individuals are selected from the sorted population to serve as an optimal individual population; 3, dominated solutions are deleted from the optimal individual population, a sparse stochastic gradient method SGD is used for conducting fine adjustment on weight variables of all the remaining individuals in the population, and an attribute set of one individual is selected in an inflection point area on the Pareto leading edge face of the population to serve as a variable of a final training model