关键词: 极限学习机, 簇, 在线学习

Abstract: Traditional batch learning algorithm is slow to learn and has a high demand for space. This paper proposes a clutering_based and ELM_based online learning algorithm. In this algorithm, it takes the concept of clustering into extreme learning machine, combines with extreme learning machine, proposes a category_based, output_based standard of clustering. At the same time, it also proposes a weighted Moore-Penrose algorithm to solve the weight vector connecting the hidden nodes and the output nodes. The result shows that this algorithm has good learning ability and high goodness of fit, produces better generalization performance, and so on.

Key words: extreme learning machine, cluster, online learning