陆思源,陆志海,王水花,张煜东.极限学习机综述[J].测控技术,2018,37(10):3-9 |
极限学习机综述 |
Review of Extreme Learning Machine |
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DOI:10.19708/j.ckjs.2018.10.001 |
中文关键词: 极限学习机 机器学习 人工神经网络 综述 |
英文关键词:extreme learning machine(ELM) machine learning artificial neural network review |
基金项目:国家自然科学基金项目(61602250);江苏省自然科学基金(BK20150983);国家重点研发计划(2017YFB1103200/02) |
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中文摘要: |
极限学习机是一种单隐层前向网络的训练算法,主要特点是训练速度极快,而且可以达到很高的泛化性能。回顾了极限学习机的发展历程,分析了极限学习机的数学模型,详细介绍了极限学习机的各种改进算法,并列举了极限学习机在识别、预测和医学诊断领域的应用。最后总结预测了极限学习机的改进方向。 |
英文摘要: |
Extreme learning machine (ELM) is a novel training algorithm of single hidden layer feedforward network (SLFN).The training of ELM is extremely fast while obtaining good generalization ability.The development of ELM is reviewed,the mathematical model of ELM is analyzed,the different improvements of ELM are introduced,and the applications of ELM in pattern recognition,forecasting and medical diagnosis are listed.Finally,several ways for improving ELM are summarized. |
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