Applications of generalized learning in image recognition

Abstract

Generalized learning model, GLM for short, is a new kind of machine learning model which fuses symbolic learning, connective learning, fuzzy learning, evolutionary learning and statistical learning together. By introducing generalized learning into image recognition, this paper presents a new kind of image recognition model, GLIRM for short. The distinguished advantage of GLIRM is its adaptive learning ability. Through practical application in remote sensing image recognition, satisfactory results have been achieved.