Keon-Jun Park
Orcid: 0000-0002-6225-8766
According to our database1,
Keon-Jun Park
authored at least 28 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
Sensors, February, 2023
IEEE Access, 2023
2020
Novel Monitoring System for Low-Voltage DC Distribution Network Using Deep-Learning- Based Disaggregation.
IEEE Access, 2020
2019
IEEE Access, 2019
2014
Individual scatter partition-based fuzzy neural networks using particle swarm optimisation.
Int. J. Sens. Networks, 2014
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
2012
Proceedings of the Future Generation Information Technology - 4th International Conference, 2012
Design of Interval Type-2 FCM-Based FNN and Genetic Optimization for Pattern Recognition.
Proceedings of the Computer Applications for Database, Education, and Ubiquitous Computing, 2012
A Study on the LED VLC Trans-Receiver Module for Use of Ubiquitous-Sensor Network and Its Efficiency.
Proceedings of the Computer Applications for Graphics, Grid Computing, and Industrial Environment, 2012
2011
A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms.
Proceedings of the Research in Applied Computation Symposium, 2011
Design of FCM-Based Fuzzy Neural Networks and Its Optimization for Pattern Recognition.
Proceedings of the Grid and Distributed Computing, 2011
2009
Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms.
Proceedings of the FUZZ-IEEE 2009, 2009
2007
A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method.
Simul. Model. Pract. Theory, 2007
Simul. Model. Pract. Theory, 2007
Identification of fuzzy systems by means of genetic optimization and data granulation.
J. Intell. Fuzzy Syst., 2007
Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization.
Proceedings of the Computational Science and Its Applications, 2007
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization.
Proceedings of the Rough Sets and Current Trends in Computing, 2006
Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Two-Phase Identification of ANFIS-Based Fuzzy Systems with Fuzzy Set by Means of Information Granulation and Genetic Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method.
Int. J. Fuzzy Log. Intell. Syst., 2005
Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons.
Int. J. Fuzzy Log. Intell. Syst., 2005
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005