An experimental study on stability and generalization of extreme learning machines

作者：Fu Aimin; Dong Chunru; Wang Laisheng^*

来源：International Journal of Machine Learning and Cybernetics, 2015, 6(1): 129-135.

DOI：10.1007/s13042-014-0238-0

• Extreme learning machine
• Generalization capability
• Uncertainty
• Fuzziness

This paper gives an experimental study on the stability of an extreme learning machine (ELM) and its generalization capability. Focusing on the relationship between uncertainty of an ELM's output on the training set and the ELM's generalization capability, the experiments show some new results in the viewpoint of classical pattern recognition. The study provides some useful guidelines to choose a fraction of ELMs with better generalization from an ensemble for classification problems.

• 出版日期2015-2
• 单位河北大学; 中国农业大学