Design and Application of Radial Basis Function Neural Networks Pattern Classifier with Feature Selection Technique Based on Random Forest for Partial Discharge Pattern Classification

Seok-Beom Roh; Sung—Kwun Oh; Young-Eil Kim

doi:10.5391/jkiis.2021.31.6.526

Design and Application of Radial Basis Function Neural Networks Pattern Classifier with Feature Selection Technique Based on Random Forest for Partial Discharge Pattern Classification

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2021.31.6.526 ◽

2021 ◽

Vol 31 (6) ◽

pp. 526-532

Author(s):

Seok-Beom Roh ◽

Sung—Kwun Oh ◽

Young-Eil Kim

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Random Forest ◽

Radial Basis Function ◽

Pattern Classification ◽

Basis Function ◽

Partial Discharge ◽

Discharge Pattern ◽

Feature Selection Technique ◽

Selection Technique

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A Study on Three Phase Partial Discharge Pattern Classification with the Aid of Optimized Polynomial Radial Basis Function Neural Networks

The Transactions of The Korean Institute of Electrical Engineers ◽

10.5370/kiee.2013.62.4.544 ◽

2013 ◽

Vol 62 (4) ◽

pp. 544-553

Author(s):

Sung-Kwun Oh ◽

Hyun-Ki Kim ◽

Jung-Tae Kim

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Pattern Classification ◽

Basis Function ◽

Partial Discharge ◽

Discharge Pattern ◽

Three Phase ◽

Radial Basis

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Breast cancer tumor type recognition using graph feature selection technique and radial basis function neural network with optimal structure

Journal of Cancer Research and Therapeutics ◽

10.4103/0973-1482.183561 ◽

2018 ◽

Vol 14 (3) ◽

pp. 625 ◽

Cited By ~ 11

Author(s):

Abdoljalil Addeh ◽

Payam Zarbakhsh

Keyword(s):

Breast Cancer ◽

Neural Network ◽

Feature Selection ◽

Radial Basis Function ◽

Basis Function ◽

Optimal Structure ◽

Tumor Type ◽

Feature Selection Technique ◽

Selection Technique ◽

Cancer Tumor

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Design of Optimized Fuzzy C-Means Clustering based Radial Basis Function Neural Network for Partial Discharge Pattern Classifier: Comparative Study

Journal of Korean institute of intelligent systems ◽

10.5391/jkiis.2021.31.6.457 ◽

2021 ◽

Vol 31 (6) ◽

pp. 457-464

Author(s):

Byeong-Kuk Jeong ◽

Sung-Kwun Oh ◽

Young-Il Kim

Keyword(s):

Neural Network ◽

Comparative Study ◽

Radial Basis Function ◽

Basis Function ◽

Partial Discharge ◽

Discharge Pattern ◽

Fuzzy C Means ◽

Radial Basis ◽

Fuzzy C Means Clustering ◽

Pattern Classifier

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An Effective Approach for Sub-acute Ischemic Stroke Lesion Segmentation by Adopting Meta-Heuristics Feature Selection Technique Along with Hybrid Naive Bayes and Sample-Weighted Random Forest Classification

Sensing and Imaging ◽

10.1007/s11220-019-0230-6 ◽

2019 ◽

Vol 20 (1) ◽

Cited By ~ 3

Author(s):

Melingi Sunil Babu ◽

V. Vijayalakshmi

Keyword(s):

Feature Selection ◽

Ischemic Stroke ◽

Random Forest ◽

Acute Ischemic Stroke ◽

Lesion Segmentation ◽

Feature Selection Technique ◽

Selection Technique ◽

Random Forest Classification ◽

Forest Classification ◽

Stroke Lesion

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Partial discharge pattern classification using multilayer neural networks

IEE Proceedings A Science Measurement and Technology ◽

10.1049/ip-a-3.1993.0049 ◽

1993 ◽

Vol 140 (4) ◽

pp. 323 ◽

Cited By ~ 15

Author(s):

L. Satish ◽

B.I. Gururaj

Keyword(s):

Neural Networks ◽

Pattern Classification ◽

Partial Discharge ◽

Discharge Pattern ◽

Multilayer Neural Networks

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Partial Discharge Pattern Recognition Using Radial Basis Function Neural Network

2010 Asia-Pacific Power and Energy Engineering Conference ◽

10.1109/appeec.2010.5449354 ◽

2010 ◽

Cited By ~ 5

Author(s):

Wen-Yeau Chang

Keyword(s):

Neural Network ◽

Pattern Recognition ◽

Radial Basis Function ◽

Basis Function ◽

Partial Discharge ◽

Discharge Pattern ◽

Radial Basis

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Random Forest Based Optimal Feature Selection for Partial Discharge Pattern Recognition in HV Cables

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2019.2918316 ◽

2019 ◽

Vol 34 (4) ◽

pp. 1715-1724 ◽

Cited By ~ 6

Author(s):

Xiaosheng Peng ◽

Jinshu Li ◽

Ganjun Wang ◽

Yijiang Wu ◽

Lee Li ◽

...

Keyword(s):

Pattern Recognition ◽

Feature Selection ◽

Random Forest ◽

Partial Discharge ◽

Discharge Pattern ◽

Optimal Feature Selection ◽

Selection For ◽

Optimal Feature

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Evolutionary Generalized Radial Basis Function neural networks for improving prediction accuracy in gene classification using feature selection

Applied Soft Computing ◽

10.1016/j.asoc.2012.01.008 ◽

2012 ◽

Vol 12 (6) ◽

pp. 1787-1800 ◽

Cited By ~ 42

Author(s):

Francisco Fernández-Navarro ◽

César Hervás-Martínez ◽

Roberto Ruiz ◽

Jose C. Riquelme

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Radial Basis Function ◽

Basis Function ◽

Prediction Accuracy ◽

Radial Basis

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Pattern Classification Using Radial Basis Function Neural Networks Enhanced with the Rvachev Function Method

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25085-9_32 ◽

2011 ◽

pp. 272-279

Author(s):

Mark S. Varvak

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Pattern Classification ◽

Basis Function ◽

Function Method ◽

Radial Basis

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Application of random forest, radial basis function neural networks and central composite design for modeling and/or optimization of the ultrasonic assisted adsorption of brilliant green on ZnS-NP-AC

Journal of Colloid and Interface Science ◽

10.1016/j.jcis.2017.05.098 ◽

2017 ◽

Vol 505 ◽

pp. 278-292 ◽

Cited By ~ 21

Author(s):

M.H. Ahmadi Azqhandi ◽

M. Ghaedi ◽

F. Yousefi ◽

M. Jamshidi

Keyword(s):

Neural Networks ◽

Random Forest ◽

Central Composite Design ◽

Radial Basis Function ◽

Basis Function ◽

Brilliant Green ◽

Radial Basis ◽

Ultrasonic Assisted ◽

Central Composite

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