Tae-Chon Ahn

Department of Electrical Electronic and Information Engineering, Wonkwang University, Chon-Buk, South Korea

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Papers81 papers

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Lazy Learning for Nonparametric Locally Weighted Regression

Seok-Beom Roh,Yong-Soo Kim,Tae-Chon Ahn

Int. J. Fuzzy Log. Intell. Syst., no. 2 (2020): 145-155

EIBibtex

Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers

Tae-Chon Ahn,Seok-Beom Roh,Yong Soo Kim, Jihong Wang

International Journal of Fuzzy Systems, no. 2 (2018): 639-654

EIBibtex

The Design of Pattern Classification based on Fuzzy Combined Polynomial Neural Network

Kyungwon Jang,Taechon Ahn,Seokbeom Rho

(2014)

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The Optimization of Fuzzy Prototype Classifier by using Differential Evolutionary Algorithm

Taechon Ahn,Seokbeom Roh,Yong Soo Kim

(2014)

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Feature Selection of Fuzzy Pattern Classifier by using Fuzzy Mapping

Taechon Ahn,Yong Soo Kim,Seokbeom Roh

(2014)

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A Design of Fuzzy Classifier with Hierarchical Structure

Taechon Ahn,Seokbeom Roh,Yong Soo Kim

(2014)

Cited by1Bibtex

A design of granular fuzzy classifier

Seok-Beom Roh,Witold Pedrycz,Tae-Chon Ahn

Expert Syst. Appl., no. 15 (2014): 6786-6795

Cited by16EIBibtex

Pattern Analysis of Maximum Power Point by means of Solar Cell Module Array Simulation

Taechon Ahn,Jiwon Jeong, Ingyu Park, Kukyeon Hwang

(2013)

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Design of Pattern Classification Rule based on Local Linear Discriminant Analysis Classifier by using Differential Evolutionary Algorithm

Seokbeom Roh, Eunjin Hwang,Taechon Ahn

(2012)

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Fuzzy linear regression based on Polynomial Neural Networks

Seok-Beom Roh,Tae-Chon Ahn,Witold Pedrycz

Expert Syst. Appl., no. 10 (2012): 8909-8928

Cited by13EIBibtex

Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes

Seok-Beom Roh,Ji-Won Jeong,Tae-Chon Ahn

Int. J. Fuzzy Logic and Intelligent Systems, no. 2 (2011): 84-88

Cited by1EIBibtex

Design of Nearest Prototype Classifier by using Differential Evolutionary Algorithm

Seokbeom Roh,Taechon Ahn

(2011)

Bibtex

The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach

Seok-Beom Roh,Tae-Chon Ahn,Witold Pedrycz

Fuzzy Sets and Systems, no. 13 (2010): 1803-1822

Cited by24EIBibtex

Design of Lazy Classifier based on Fuzzy k-Nearest Neighbors and Reconstruction Error

Seokbeom Roh,Taechon Ahn

(2010)

Cited by1Bibtex

Space Partition using Context Fuzzy c-Means Algorithm for Image Segmentation

Seokbeom Roh,Taechon Ahn, Yongsun Baek,Yongsoo Kim

(2010)

Bibtex

The refinement of models with the aid of the fuzzy k-nearest neighbors approach

Seok-Beom Roh,Tae-Chon Ahn,Witold Pedrycz

IEEE T. Instrumentation and Measurement, no. 3 (2009): 604-615

Cited by14EIWOSBibtex

Feature Selection for Fuzzy Radial Basis Neural Networks based on Locally Linear Reconstruction

Seokbeom Roh,Taechon Ahn

(2009)

Cited by5Bibtex

Design Methodology of Generalized Fuzzy Controller

Seunghyun Jung,Sungkwun Oh,Seokbeom Roh,Taechon Ahn

(2007)

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Fuzzy Combined Polynomial Neural Networks

Seokbeom Roh,Taechon Ahn

Lecture Notes in Artificial Intelligence, (2007): 49-+

Bibtex

Design of adaptive fuzzy-PI control with the aid of rough set theory and its application to a HVDC system

Zhong-Xian Wang,Tae-Chon Ahn

ICIC (1), (2007): 433-444

Cited by1WOSSCOPUSEIBibtex

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Tae-Chon AhnBinding

Papers81 papers

Tae-Chon Ahn