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A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

Type: Conference Paper

Author : Xiao-Jun Zeng

Publisher: IEEE

Year: 2014

A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

Type: Journal Paper

Author : Xiao-Jun Zeng

Year: 2014

A self-evolving fuzzy system which learns dynamic threshold parameter by itself

Type: Journal Paper

Author : Dongjiao Ge; Xiao-Jun Zeng

Year: 2018

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Learning evolving T–S fuzzy systems with both local and global accuracy – A local online optimization approach

Type: Journal Paper

Author : Dongjiao Ge; Xiao-Jun Zeng

Year: 2018

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Integrating demand response into electricity market

Type: Journal Paper

Author : Zixu Liu; Xiao-Jun Zeng; Qian Ma

Year: 2016

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ISTS: Implicit social trust and sentiment based approach to recommender systems

Type: Journal Paper

Author : Dimah H. Alahmadi; Xiao-Jun Zeng

Year: 2015

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Appliance level demand modeling and pricing optimization for demand response management in smart grid

Type: Journal Paper

Author : Fan-Lin Meng; Xiao-Jun Zeng

Year: 2015

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Fuzzy C-means++: Fuzzy C-means with effective seeding initialization

Type: Journal Paper

Author : Adrian Stetco; Xiao-Jun Zeng; John Keane

Year: 2015

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A three-part input-output clustering-based approach to fuzzy system identification

Type: Conference Paper

Author : Shin-Jye Lee; Xiao-Jun Zeng

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A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid

Type: Journal Paper

Author : Fan-Lin Meng; Xiao-Jun Zeng

Year: 2016

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A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

A self-evolving fuzzy system which learns dynamic threshold parameter by itself

Learning evolving T–S fuzzy systems with both local and global accuracy – A local online optimization approach

Integrating demand response into electricity market

ISTS: Implicit social trust and sentiment based approach to recommender systems

Appliance level demand modeling and pricing optimization for demand response management in smart grid

Fuzzy C-means++: Fuzzy C-means with effective seeding initialization

A three-part input-output clustering-based approach to fuzzy system identification

A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid

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A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

A comparison between T-S fuzzy systems and affine T-S fuzzy systems as nonlinear control system models

A self-evolving fuzzy system which learns dynamic threshold parameter by itself

Learning evolving T–S fuzzy systems with both local and global accuracy – A local online optimization approach

Integrating demand response into electricity market

ISTS: Implicit social trust and sentiment based approach to recommender systems

Appliance level demand modeling and pricing optimization for demand response management in smart grid

Fuzzy C-means++: Fuzzy C-means with effective seeding initialization

A three-part input-output clustering-based approach to fuzzy system identification

A Profit Maximization Approach to Demand Response Management with Customers Behavior Learning in Smart Grid