Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)

doi:10.1109/SPAC46244.2018.8965447

Status	已發表Published
	Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)
	Wang，Jing 1; Chen，Philip 2; Ma，Zhenyuan 1; Xiao，Zhenghong 1
	2018-12-01
Source Publication	2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018
Pages	80-84
Abstract	Fuzzy neural network (FNN) often suffers from overfitting problem, especially when FNN has large number of parameters. In the FNN system, there are two types of adjustable parameters, one is control parameters, and the other is link weights of consequent part. To improve convergent rate, Dropout technique is first adopted for Fuzzy neural network. A new training algorithm with dropout technique for FNN is proposed via its equivalent F-CONFIS. Illustrative examples are provided for checking the validity of the proposed method. Simulation attained satisfactory results. Proposed method for Fuzzy neural network via F-CONFIS has its rising values in all practical applications, such as system identification, expert System and image information processing system..., etc.
Keyword	Adaptive Neural-Fuzzy Inference Systems(ANFIS) Fuzzy Inference Systems Fuzzy Neural Networks Gradient Descent Neural Networks
DOI	10.1109/SPAC46244.2018.8965447
URL	View the original
Language	英語English
Scopus ID	2-s2.0-85079199805
Fulltext Access	View Full-Text via DOI View Full-Text via Scopus
Citation statistics
Document Type	Conference paper
Collection	University of Macau
Affiliation	1.College of Computer Science,Guangdong Polytechnic Normal University,Guangdong,China 2.Faculty of Science and Technology,University of Macau,MSAR,Macao
Recommended Citation GB/T 7714	Wang，Jing,Chen，Philip,Ma，Zhenyuan,et al. Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS)[C], 2018, 80-84.
APA	Wang，Jing., Chen，Philip., Ma，Zhenyuan., & Xiao，Zhenghong (2018). Fuzzy Neural Networks (FNNs) Training Algorithm with Dropout via Its Equivalent Fully Connected Fuzzy Inference Systems (F-CONFIS). 2018 International Conference on Security, Pattern Analysis, and Cybernetics, SPAC 2018, 80-84.

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