模式识别与人工智能
Friday, Apr. 4, 2025 Home      About Journal      Editorial Board      Instructions      Ethics Statement      Contact Us                   中文
  2017, Vol. 30 Issue (9): 833-840    DOI: 10.16451/j.cnki.issn1003-6059.201709007
Orignal Article Current Issue| Next Issue| Archive| Adv Search |
Multi-label Learning Model Based on Multi-label Radial Basis Function Neural Network and Regularized Extreme Learning Machine
SHAN Dong, XU Xinzheng
School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116

Download: PDF (607 KB)   HTML (1 KB) 
Export: BibTeX | EndNote (RIS)      
Abstract  Extreme learning machine(ELM) possesses the characteristics of fast training and good generalization ability compared with radial basis function neural network(RBFNN), and the affinity propagation(AP) clustering algorithm can automatically determine the number of clusters without a prior knowledge. Therefore, a multi-label learning model named ML-AP-RBF-RELM is proposed, and AP clustering algorithm, multi-label back propagation neural network (ML-RBF) and regularized ELM (RELM) are integrated in this model. ML-RBF is used to map in the input layer. In the hidden layer, the number of hidden nodes can be automatically determined by the sum of clustering centers of AP algorithm, and the center of the RBF function can be computed through the center of K-means clustering algorithm while the clustering number is determined by AP algorithm. Finally, the weights from hidden layer to output layer are rapidly calculated through RELM. The simulation results demonstrate that ML-AP-RBF-RELM performs well.
Key wordsMulti-label Learning      Regularized Extreme Learning Machine(RELM)      Radial Basis Function Neural Network(RBFNN)      Feedforward Neural Network     
Received: 02 April 2017     
ZTFLH: TP 183  
About author:: (SHAN Dong, born in 1992, master student. His research interests include machine learning and image processing.)
(XU Xinzheng(Corresponding author), born in 1980, Ph.D., associate professor. His research interests include machine learning and image processing.)
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
SHAN Dong
XU Xinzheng
Cite this article:   
SHAN Dong,XU Xinzheng. Multi-label Learning Model Based on Multi-label Radial Basis Function Neural Network and Regularized Extreme Learning Machine[J]. , 2017, 30(9): 833-840.
URL:  
http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201709007      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2017/V30/I9/833
Copyright © 2010 Editorial Office of Pattern Recognition and Artificial Intelligence
Address: No.350 Shushanhu Road, Hefei, Anhui Province, P.R. China Tel: 0551-65591176 Fax:0551-65591176 Email: bjb@iim.ac.cn
Supported by Beijing Magtech  Email:support@magtech.com.cn