Tae-Chon Ahn

According to our database, Tae-Chon Ahn authored at least 35 papers between 2002 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2020

Lazy Learning for Nonparametric Locally Weighted Regression.

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

Int. J. Fuzzy Log. Intell. Syst., 2020

2019

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

Int. J. Fuzzy Syst., 2019

2014

Design of Radial Basis Function Classifier Based on Polynomial Neural Networks.

Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin, Yong-Soo Kim

Proceedings of the Soft Computing in Artificial Intelligence, 2014

A design of granular fuzzy classifier.

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

Expert Syst. Appl., 2014

2012

Fuzzy linear regression based on Polynomial Neural Networks.

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

Expert Syst. Appl., 2012

2011

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

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

Int. J. Fuzzy Log. Intell. Syst., 2011

2010

The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach.

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

IEEE Trans. Instrum. Meas., 2010

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 Syst., 2010

2007

IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.

Sung-Kwun Oh, Seok-Beom Roh, Witold Pedrycz, Tae-Chon Ahn

Neurocomputing, 2007

Fuzzy Combined Polynomial Neural Networks.

Seok-Beom Roh, Tae-Chon Ahn

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process.

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks, 2007

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

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues, 2007

2006

Optimal Fuzzy Models with the Aid of SAHN-based Algorithm.

Jong-Seok Lee, Kyung-Won Jang, Tae-Chon Ahn

Int. J. Fuzzy Log. Intell. Syst., 2006

Data Pattern Estimation with Movement of the Center of Gravity.

Tae-Chon Ahn, Kyung-Won Jang, Dong-Du Shin, Hak-Soo Kang, Yang-Woong Yoon

Int. J. Fuzzy Log. Intell. Syst., 2006

Intuitionistic Fuzzy Subgroups and Level Subgroups.

Tae-Chon Ahn, Kul Hur, Kyung-Won Jang

Int. J. Fuzzy Log. Intell. Syst., 2006

The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System.

Zhong-Xian Wang, Jueng-je Yang, Tae-Chon Ahn

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms.

Tae-Chon Ahn, Kyung-Won Jang, Seok-Beom Roh

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.

Seok-Beom Roh, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.

Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm.

Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Advances in Applied Artificial Intelligence, 2006

Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process.

Tae-Chon Ahn, Ho-Sung Park

Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation.

Seok-Beom Roh, Hyung-Soo Hwang, Tae-Chon Ahn

Proceedings of the Neural Information Processing, 13th International Conference, 2006

Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process.

Ho-Sung Park, Kyung-Won Jang, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the Neural Information Processing, 13th International Conference, 2006

The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization.

Ho-Sung Park, Tae-Chon Ahn

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

Improvement of HSOFPNN Using Evolutionary Algorithm.

Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation.

Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.

Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn

Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons.

Sung-Kwun Oh, Byoung-Jun Park, Witold Pedrycz, Tae-Chon Ahn

Proceedings of the Computational Science, 2005

Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization.

Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn

Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005

2004

Parameter estimation of fuzzy controller and its application to inverted pendulum.

Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Tae-Chon Ahn

Eng. Appl. Artif. Intell., 2004

Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design.

Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn

Proceedings of the Computational Science, 2004

2003

Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.

Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn

Proceedings of the Rough Sets, 2003

2002

Self-organizing neural networks with fuzzy polynomial neurons.

Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn

Appl. Soft Comput., 2002

Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach.

James F. Peters, Tae-Chon Ahn, Maciej Borkowski

Proceedings of the Rough Sets and Current Trends in Computing, 2002

Software Quality Knowledge Discovery: A Rough Set Approach.

Sheela Ramanna, James F. Peters, Tae-Chon Ahn

Proceedings of the 26th International Computer Software and Applications Conference (COMPSAC 2002), 2002