Trainable back-propagated functional transfer matrices

doi:10.1007/s10489-018-1266-3

	Trainable back-propagated functional transfer matrices
	Cai, Cheng-Hao 1; Xu, Yanyan 2; Ke, Dengfeng3 ; Su, Kaile 4; Sun, Jing 1
刊名	APPLIED INTELLIGENCE
	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.
资助项目	Fundamental Research Funds for the Central Universities[2016JX06] ; National Natural Science Foundation of China[61472369]
WOS关键词	LINK NEURAL-NETWORK ; NEURONS
WOS研究方向	Computer Science
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000457362600005
资助机构	Fundamental Research Funds for the Central Universities ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/25275]
专题	中国科学院自动化研究所
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.