Genralized fuzzy cluster loading model

Analysis of Fuzzy Cluster for Mental Health

PsycEXTRA Dataset ◽

10.1037/e525172013-016 ◽

2013 ◽

Author(s):

Kensei Tsuchida ◽

Chieko Kato ◽

Tadaaki Kirishima ◽

Futoshi Sugimoto

Keyword(s):

Mental Health ◽

Fuzzy Cluster

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Combining principal component analysis and fuzzy cluster analysis for China's oil security

2nd International Symposium on Information Technologies and Applications in Education (ISITAE 2008) ◽

10.1049/ic:20080300 ◽

2008 ◽

Author(s):

Wang Jian-zhou ◽

Zhu Su-ling ◽

Sun Dong-huai ◽

Lu Hai-yan

Keyword(s):

Principal Component Analysis ◽

Cluster Analysis ◽

Principal Component ◽

Component Analysis ◽

Fuzzy Cluster ◽

Fuzzy Cluster Analysis

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A fuzzy cluster method for turbulent/non-turbulent interface detection

Experiments in Fluids ◽

10.1007/s00348-021-03169-9 ◽

2021 ◽

Vol 62 (4) ◽

Author(s):

Khaled Younes ◽

Bradley Gibeau ◽

Sina Ghaemi ◽

Jean-Pierre Hickey

Keyword(s):

Fuzzy Cluster ◽

Cluster Method ◽

Fuzzy Cluster Method

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Reconstruction Method of Ocean Front Model Based on Fuzzy Cluster Analysis of Sound Speed Profile

IEEE Access ◽

10.1109/access.2021.3103745 ◽

2021 ◽

pp. 1-1

Author(s):

Yuyao Liu ◽

Wen Chen ◽

Wei Chen ◽

Yu Chen ◽

Lina Ma ◽

...

Keyword(s):

Cluster Analysis ◽

Sound Speed ◽

Fuzzy Cluster ◽

Reconstruction Method ◽

Speed Profile ◽

Fuzzy Cluster Analysis ◽

Sound Speed Profile ◽

Model Based ◽

Ocean Front ◽

Front Model

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A comparative analysis of neural and fuzzy cluster techniques applied to the characterization of electric load in substations

2004 IEEE/PES Transmision and Distribution Conference and Exposition: Latin America (IEEE Cat. No. 04EX956) ◽

10.1109/tdc.2004.1432503 ◽

2005 ◽

Cited By ~ 4

Author(s):

D.Z. Marques ◽

K.A. de Almeida ◽

A.M. de Deus ◽

A.R.G. da Silva Paulo ◽

W. da Silva Lima

Keyword(s):

Comparative Analysis ◽

Fuzzy Cluster ◽

Electric Load

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Application of Fuzzy Cluster Analysis on Identifying Sedimentary Microfacies

2013 International Conference on Computational and Information Sciences ◽

10.1109/iccis.2013.327 ◽

2013 ◽

Cited By ~ 1

Author(s):

Li Guorong ◽

Liao Taiping ◽

Hu Jingjing ◽

Zhang Furong

Keyword(s):

Cluster Analysis ◽

Fuzzy Cluster ◽

Fuzzy Cluster Analysis ◽

Sedimentary Microfacies

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On fuzzy cluster validity indices for the objects of mixed features

2009 IEEE International Conference on Fuzzy Systems ◽

10.1109/fuzzy.2009.5277190 ◽

2009 ◽

Cited By ~ 2

Author(s):

Mahnhoon Lee

Keyword(s):

Fuzzy Cluster ◽

Cluster Validity ◽

Cluster Validity Indices ◽

Validity Indices ◽

Mixed Features

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Energy Efficient Neuro-Fuzzy Cluster based Topology Construction with Metaheuristic Route Planning Algorithm for Unmanned Aerial Vehicles

Computer Networks ◽

10.1016/j.comnet.2021.108214 ◽

2021 ◽

pp. 108214

Author(s):

Irina V. Pustokhina ◽

Denis A. Pustokhin ◽

E. Laxmi Lydia ◽

Mohamed Elhoseny ◽

K. Shankar

Keyword(s):

Unmanned Aerial Vehicles ◽

Energy Efficient ◽

Route Planning ◽

Fuzzy Cluster ◽

Topology Construction ◽

Aerial Vehicles ◽

Neuro Fuzzy ◽

Planning Algorithm

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Wind Speed Forecasting Based on Model Selection, Fuzzy Cluster, and Multi-Objective Algorithm and Wind Energy Simulation by Betz's Theory

Expert Systems with Applications ◽

10.1016/j.eswa.2022.116509 ◽

2022 ◽

pp. 116509

Author(s):

Shenghui Zhang ◽

Chen Wang ◽

Peng Liao ◽

Ling Xiao ◽

Tonglin Fu

Keyword(s):

Wind Speed ◽

Model Selection ◽

Wind Energy ◽

Energy Simulation ◽

Fuzzy Cluster ◽

Wind Speed Forecasting ◽

Multi Objective

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Study on Fuzzy Cluster in the Model for Rapid Identification of NC Processing

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.522.673 ◽

2012 ◽

Vol 522 ◽

pp. 673-676

Author(s):

Xi Li ◽

Dan Feng Feng

Keyword(s):

Experimental Study ◽

Intelligent Control ◽

Likelihood Function ◽

Rapid Identification ◽

Fuzzy Cluster ◽

Identification Algorithm ◽

Signal Identification ◽

Dynamic Identification ◽

The One ◽

S Model

In this paper, a application of signal identification by using fuzzy cluster is studied Based on the one order T-S model, an algorithm for online establishment the nonlinear model between the servo current and cutting force is presented by fuzzy likelihood function to derive fuzzy cluster. Finally, the experimental study has been given. The result showed that it can be regarded as a good dynamic identification algorithm for intelligent control of NC processing.

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