A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification
文献类型：期刊论文
| 作者 | Feng, Shuang2,3; Chen, C. L. Philip1,3,4; Zhang, Chun-Yang5 |
| 刊名 | IEEE TRANSACTIONS ON FUZZY SYSTEMS
 |
| 出版日期 | 2020-07-01 |
| 卷号 | 28期号:7页码:1344-1355 |
| 关键词 | Data models Training Training data Fuzzy neural networks Databases Neural networks Classification fuzzy deep model fuzzy restricted Boltzmann machine (FRBM) hybrid learning |
| ISSN号 | 1063-6706 |
| DOI | 10.1109/TFUZZ.2019.2902111 |
| 通讯作者 | Feng, Shuang(fengshuang@bnuz.edu.cn) |
| 英文摘要 | We establish a fuzzy deep model called the fuzzy deep belief net (FDBN) based on fuzzy restricted Boltzmann machines (FRBMs) due to their excellent generative and discriminative properties. The learning procedure of an FDBN is divided into a pretraining phase and a subsequent fine-tuning phase. In the pretraining phase, a group of FRBMs is trained in a greedy layerwise way: the first FRBM is trained by original samples, and the average values of the left and right probabilities produced by its hidden units are treated as the training data for subsequent FRBMs. The resulting FDBN is either a generative or a discriminative model depending on the choice of training a generative or a discriminative type of FRBM on top. Then, a hybrid learning approach is proposed to fine-tune this novel fuzzy deep model: the well pretrained fuzzy parameters are first defuzzified, and the FDBN with defuzzified parameters is fine-tuned by the wake-sleep or stochastic gradient descent algorithm. This hybrid strategy not only avoids learning an intractable fuzzy neural network, but also greatly improves the classification capability of the FDBN. The experimental results on MNIST, NORB, and 15 Scene databases indicate that the FDBN with the hybrid learning approach can handle high-dimensional raw images directly. It inherits the fine nature of the FRBM and outperforms some state-of-the-art discriminative models in classification accuracy. Moreover, it shows better capability of robustness than a deep belief net when encountering noisy data. |
| WOS关键词 | POSSIBILISTIC MEAN-VALUE ; LEARNING ALGORITHMS ; RECOGNITION ; NETWORKS |
| 资助项目 | National Natural Science Foundation of China[61572540] ; National Natural Science Foundation of China[61751202] ; National Natural Science Foundation of China[U1813203] ; National Natural Science Foundation of China[U1801262] ; National Natural Science Foundation of China[61751205] ; National Natural Science Foundation of China[61603096] ; Macau Science and Technology Development Fund[019/2015/A1] ; Macau Science and Technology Development Fund[079/2017/A2] ; Macau Science and Technology Development Fund[024/2015/AMJ] ; University of Macau ; Teacher Research Capacity Promotion Program of Beijing Normal University, Zhuhai |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000545205300014 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Natural Science Foundation of China ; Macau Science and Technology Development Fund ; University of Macau ; Teacher Research Capacity Promotion Program of Beijing Normal University, Zhuhai |
| 源URL | [http://ir.ia.ac.cn/handle/173211/40035]  |
| 专题 | 离退休人员 |
| 通讯作者 | Feng, Shuang |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100080, Peoples R China 2.Beijing Normal Univ, Sch Appl Math, Zhuhai 519087, Peoples R China 3.Univ Macau, Fac Sci & Technol, Macau 999078, Peoples R China 4.Dalian Maritime Univ, Dept Nav, Dalian 116026, Peoples R China 5.Fuzhou Univ, Sch Math & Comp Sci, Fuzhou 350116, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Shuang,Chen, C. L. Philip,Zhang, Chun-Yang. A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS,2020,28(7):1344-1355. |
| APA | Feng, Shuang,Chen, C. L. Philip,&Zhang, Chun-Yang.(2020).A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification.IEEE TRANSACTIONS ON FUZZY SYSTEMS,28(7),1344-1355. |
| MLA | Feng, Shuang,et al."A Fuzzy Deep Model Based on Fuzzy Restricted Boltzmann Machines for High-Dimensional Data Classification".IEEE TRANSACTIONS ON FUZZY SYSTEMS 28.7(2020):1344-1355. |
入库方式： OAI收割
来源：自动化研究所
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