Fuzzy serial-parallel stochastic configuration networks based on nonconvex dynamic membership function optimization

A fuzzy series–parallel stochastic configuration networks (F-SPSCN) is proposed based on the application of nonconvex optimization in fuzzy systems. Firstly, the kernel density estimation method is used to fit the distribution of original input data to generate dynamic nonconvex membership functions...

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Vydáno v:	Information sciences Ročník 690; s. 121501
Hlavní autoři:	Qiao, Jinghui, Qiao, Jiayu, Gao, Peng, Bai, Zhe, Xiong, Ningkang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 01.02.2025
Témata:	Fuzzy systems Generalized projective gradient descent algorithm Hydrogen-based mineral phase transformation (HMPT) Magnetic separation recovery ratio (MSRR) Majorization-minimization algorithm Nonconvex optimization Stochastic configuration networks (SCN) Nonconvex optimization Stochastic configuration networks (SCN) Generalized projective gradient descent algorithm Magnetic separation recovery ratio (MSRR) Majorization-minimization algorithm Fuzzy systems Hydrogen-based mineral phase transformation (HMPT)
ISSN:	0020-0255
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