Novel TSK Modeling Method with Joint Group Sparse Learning for Autism Aided Diagnosis

Novel TSK Modeling Method with Joint Group Sparse Learning for Autism Aided Diagnosis

Autism is a neurodevelopmental disorder with great uncertainty in its diagnosis. However, the existing modeling methods for autism diagnosis have not been effectively studied for the uncertainty of the diagnosis process so far. In this paper, based on TSK (Takagi-Sugeno-Kang) fuzzy system and combin...

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Bibliographic Details
Main Author:	ZHANG Chunxiang, WANG Jun, ZHANG Jiaxu, DENG Zhaohong, PAN Xiang, WANG Shitong
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-12-01
Series:	Jisuanji kexue yu tansuo
Subjects:	autism spectrum disorder (asd) resting-state functional magnetic resonance imaging (rs-fmri) tsk fuzzy system joint group sparse
Online Access:	http://fcst.ceaj.org/CN/abstract/abstract2488.shtml

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