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Incremental extreme learning machine based on deep feature embedded

文献类型：期刊论文

作者Zhang, Jian1,2; Ding, Shifei1,2; Zhang, Nan1,2; Shi, Zhongzhi2
刊名INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS
出版日期2016-02-01
卷号7期号:1页码:111-120
关键词RBM SRBM Manifold Regularization ELM Incremental feature mapping
ISSN号1868-8071
DOI10.1007/s13042-015-0419-5
英文摘要Extreme learning machine (ELM) algorithm is used to train Single-hidden Layer Feed forward Neural Networks. And Deep Belief Network (DBN) is based on Restricted Boltzmann Machine (RBM). The conventional DBN algorithm has some insufficiencies, i.e., Contrastive Divergence (CD) Algorithm is not an ideal approximation method to Maximum Likelihood Estimation. And bad parameters selected in RBM algorithm will produce a bad initialization in DBN model so that we will spend more training time and get a low classification accuracy. To solve the problems above, we summarize the features of extreme learning machine and deep belief networks, and then propose Incremental extreme learning machine based on Deep Feature Embedded algorithm which combines the deep feature extracting ability of Deep Learning Networks with the feature mapping ability of extreme learning machine. Firstly, we introduce Manifold Regularization to our model to attenuate the complexity of probability distribution. Secondly, we introduce the semi-restricted Boltzmann machine (SRBM) to our algorithm, and build a deep belief network based on SRBM. Thirdly, we introduce the thought of incremental feature mapping in ELM to the classifier of DBN model. Finally, we show validity of the algorithm by experiments.
资助项目National Natural Science Foundation of China[61379101] ; National Key Basic Research Program of China[2013CB329502]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000368167400008
出版者SPRINGER HEIDELBERG
源URL[http://119.78.100.204/handle/2XEOYT63/8976]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Ding, Shifei
作者单位1.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Jian,Ding, Shifei,Zhang, Nan,et al. Incremental extreme learning machine based on deep feature embedded[J]. INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,2016,7(1):111-120.
APA Zhang, Jian,Ding, Shifei,Zhang, Nan,&Shi, Zhongzhi.(2016).Incremental extreme learning machine based on deep feature embedded.INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS,7(1),111-120.
MLA Zhang, Jian,et al."Incremental extreme learning machine based on deep feature embedded".INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS 7.1(2016):111-120.

入库方式： OAI收割

来源：计算技术研究所

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