The applications of generalized learning in RSIRS

Generalized learning is a kind of integrated machine learning methods, which combines symbolic learning with connective learning, fuzzy learning and evolution learning. This paper discusses the fundamental principle for generalized learning first. Then the generalized learning is introduced to remote sensing image recognition system (RSIRS for short) to obtain certain knowledge from training sample set for classification. The experiment result has shown the validity of generalized learning in knowledge discovering.