Trainable back-propagated functional transfer matrices
文献类型：期刊论文
| 作者 | Cai, Cheng-Hao1; Xu, Yanyan2; Ke, Dengfeng3 ; Su, Kaile4; Sun, Jing1
|
| 刊名 | APPLIED INTELLIGENCE
 |
| 出版日期 | 2019-02-01 |
| 卷号 | 49期号:2页码:376-395 |
| 关键词 | Functional transfer neural networks Functional connections Back-propagation |
| ISSN号 | 0924-669X |
| DOI | 10.1007/s10489-018-1266-3 |
| 通讯作者 | Xu, Yanyan(xuyanyan@bjfu.edu.cn) |
| 英文摘要 | Functional transfer matrices consist of real functions with trainable parameters. In this work, functional transfer matrices are used to model functional connections in neural networks. Different from linear connections in conventional weight matrices, the functional connections can represent nonlinear relations between two neighbouring layers. Neural networks with the functional connections, which are called functional transfer neural networks, can be trained via back-propagation. On the two spirals problem, the functional transfer neural networks are able to show considerably better performance than conventional multi-layer perceptrons. On the MNIST handwritten digit recognition task, the performance of the functional transfer neural networks is comparable to that of the conventional model. This study has demonstrated that the functional transfer matrices are able to perform better than the conventional weight matrices in specific cases, so that they can be alternatives of the conventional ones. |
| WOS关键词 | LINK NEURAL-NETWORK ; NEURONS |
| 资助项目 | Fundamental Research Funds for the Central Universities[2016JX06] ; National Natural Science Foundation of China[61472369] |
| WOS研究方向 | Computer Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000457362600005 |
| 出版者 | SPRINGER |
| 资助机构 | Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China |
| 源URL | [http://ir.ia.ac.cn/handle/173211/25275]  |
| 专题 | 模式识别国家重点实验室_智能交互 |
| 通讯作者 | Xu, Yanyan |
| 作者单位 | 1.Univ Auckland, Dept Comp Sci, 38 Princes St, Auckland 1142, New Zealand 2.Beijing Forestry Univ, Sch Informat Sci & Technol, 35 East Qinghua Rd, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Automat, 95 East Zhongguancun Rd, Beijing 100190, Peoples R China 4.Griffith Univ, Sch Informat & Commun Technol, 170 Kessels Rd, Brisbane, Qld 4111, Australia |
| 推荐引用方式 GB/T 7714 | Cai, Cheng-Hao,Xu, Yanyan,Ke, Dengfeng,et al. Trainable back-propagated functional transfer matrices[J]. APPLIED INTELLIGENCE,2019,49(2):376-395. |
| APA | Cai, Cheng-Hao,Xu, Yanyan,Ke, Dengfeng,Su, Kaile,&Sun, Jing.(2019).Trainable back-propagated functional transfer matrices.APPLIED INTELLIGENCE,49(2),376-395. |
| MLA | Cai, Cheng-Hao,et al."Trainable back-propagated functional transfer matrices".APPLIED INTELLIGENCE 49.2(2019):376-395. |
入库方式： OAI收割
来源：自动化研究所
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