Tae-Chon Ahn

Publication Activity (10 Years)

Years Active: 2002-2020
Publications (10 Years): 2

Top Topics

Locally Weighted

Nearest Neighbor Classifiers

Polynomial Neural Networks

Top Venues

Expert Syst. Appl.

Int. J. Fuzzy Log. Intell. Syst.

Int. J. Fuzzy Syst.

Publications

Seok-Beom Roh, Yong-Soo Kim, Tae-Chon Ahn
Lazy Learning for Nonparametric Locally Weighted Regression. Int. J. Fuzzy Log. Intell. Syst. 20 (2) (2020)
Tae-Chon Ahn, Seok-Beom Roh, Yong-Soo Kim, Jihong Wang
Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers. Int. J. Fuzzy Syst. 21 (2) (2019)
Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn
A design of granular fuzzy classifier. Expert Syst. Appl. 41 (15) (2014)
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
Fuzzy linear regression based on Polynomial Neural Networks. Expert Syst. Appl. 39 (10) (2012)
Seok-Beom Roh, Ji-Won Jeong, Tae-Chon Ahn
Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes. Int. J. Fuzzy Log. Intell. Syst. 11 (2) (2011)
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
The design methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. Fuzzy Sets Syst. 161 (13) (2010)
Seok-Beom Roh, Tae-Chon Ahn, Witold Pedrycz
The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. IEEE Trans. Instrum. Meas. 59 (3) (2010)
Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. Neurocomputing 70 (16-18) (2007)
Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn
GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process. ISNN (2) (2007)
Zhong-Xian Wang, Tae-Chon Ahn
Design of Adaptive Fuzzy-PI Control with the Aid of Rough Set Theory and Its Application to a HVDC System. ICIC (1) (2007)
Seok-Beom Roh, Tae-Chon Ahn
Fuzzy Combined Polynomial Neural Networks. KES (3) (2007)
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
Improvement of HSOFPNN Using Evolutionary Algorithm. Australian Conference on Artificial Intelligence (2006)
Zhong-Xian Wang, Jueng-je Yang, Tae-Chon Ahn
The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System. KES (1) (2006)
Tae-Chon Ahn, Ho-Sung Park
Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process. IDEAL (2006)
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. ISNN (1) (2006)
Tae-Chon Ahn, Kyung-Won Jang, Dong-Du Shin, Hak-Soo Kang, Yang-Woong Yoon
Data Pattern Estimation with Movement of the Center of Gravity. Int. J. Fuzzy Log. Intell. Syst. 6 (3) (2006)
Jong-Seok Lee, Kyung-Won Jang, Tae-Chon Ahn
Optimal Fuzzy Models with the Aid of SAHN-based Algorithm. Int. J. Fuzzy Log. Intell. Syst. 6 (2) (2006)
Ho-Sung Park, Kyung-Won Jang, Sung-Kwun Oh, Tae-Chon Ahn
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process. ICONIP (3) (2006)
Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm. IEA/AIE (2006)
Tae-Chon Ahn, Kul Hur, Kyung-Won Jang
Intuitionistic Fuzzy Subgroups and Level Subgroups. Int. J. Fuzzy Log. Intell. Syst. 6 (3) (2006)
Seok-Beom Roh, Hyung-Soo Hwang, Tae-Chon Ahn
An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation. ICONIP (3) (2006)
Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms. ISNN (1) (2006)
Ho-Sung Park, Tae-Chon Ahn
The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization. FSKD (2006)
Tae-Chon Ahn, Kyung-Won Jang, Seok-Beom Roh
Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms. KES (3) (2006)
Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. ISNN (3) (2005)
Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. International Conference on Computational Science (1) (2005)
Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. Australian Conference on Artificial Intelligence (2005)
Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn
Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. IWANN (2005)
Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn
Parameter estimation of fuzzy controller and its application to inverted pendulum. Eng. Appl. Artif. Intell. 17 (1) (2004)
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. International Conference on Computational Science (2004)
Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. RSFDGrC (2003)
Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
Self-organizing neural networks with fuzzy polynomial neurons. Appl. Soft Comput. 2 (1) (2002)
James F. Peters, Tae-Chon Ahn, Maciej Borkowski
Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach. Rough Sets and Current Trends in Computing (2002)
Sheela Ramanna, James F. Peters, Tae-Chon Ahn
Software Quality Knowledge Discovery: A Rough Set Approach. COMPSAC (2002)