Keon-Jun Park - researchr alias

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Viewing Publication 1 - 28 from 28

2023

Occupancy-Based Energy Consumption Estimation Improvement through Deep LearningMi-Lim Kim, Keon-Jun Park, Sung-Yong Son. sensors, 23(4):2127, February 2023. [doi]

Residential Load Forecasting Using Modified Federated Learning AlgorithmKeon-Jun Park, Sung-Yong Son. access, 11:40675-40691, 2023. [doi]

2020

Novel Monitoring System for Low-Voltage DC Distribution Network Using Deep-Learning- Based DisaggregationJin-Wook Lee, Keon-Jun Park, Jintae Cho, Ju-Yong Kim, Sung-Yong Son. access, 8:185266-185275, 2020. [doi]

2019

A Novel Load Image Profile-Based Electricity Load Clustering MethodologyKeon-Jun Park, Sung-Yong Son. access, 7:59048-59058, 2019. [doi]

2014

2012

2011

A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithmsWei Huang, Sung-Kwun Oh, Keon-Jun Park, Yong-Kab Kim. racs 2011: 330-335 [doi]

Design of FCM-Based Fuzzy Neural Networks and Its Optimization for Pattern RecognitionKeon-Jun Park, Dong-Yoon Lee, Jong-Pil Lee. fgit 2011: 438-444 [doi]

2009

Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithmsKeon-Jun Park, Sung-Kwun Oh, Witold Pedrycz. fuzzIEEE 2009: 2013-2018 [doi]

2007

Structural developments of fuzzy systems with the aid of information granulationSung-Kwun Oh, Witold Pedrycz, Keon-Jun Park. simpra, 15(10):1292-1309, 2007. [doi]

Identification of fuzzy systems by means of genetic optimization and data granulationSung-Kwun Oh, Witold Pedrycz, Keon-Jun Park. jifs, 18(1):31-41, 2007. [doi]

Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software ProcessSung-Kwun Oh, Keon-Jun Park, Witold Pedrycz. iccS 2007: 1108-1115 [doi]

A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution methodKeon-Jun Park, Witold Pedrycz, Sung-Kwun Oh. simpra, 15(9):1128-1145, 2007. [doi]

Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic OptimizationKeon-Jun Park, Sung-Kwun Oh, Hyun-Ki Kim, Witold Pedrycz, Seong-Whan Jang. iccsa 2007: 1076-1085 [doi]

2006

2005

Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial NeuronsSung-Kwun Oh, Seok-Beom Roh, Keon-Jun Park. ijflis, 5(4):327-332, 2005. [doi]

Identification of Fuzzy Systems with the Aid of Genetic Fuzzy GranulationSung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn. iwann 2005: 391-398 [doi]

Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information GranulationSung-Kwun Oh, Keon-Jun Park, Hyungsoo Hwang. isnn 2005: 416-421 [doi]

Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic OptimizationSung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn. ausai 2005: 1142-1145 [doi]

Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information GranulationSung-Kwun Oh, Keon-Jun Park, Witold Pedrycz. mdai 2005: 316-327 [doi]

Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference MethodKeon-Jun Park, Young-Il Lee, Sung-Kwun Oh. ijflis, 5(3):253-258, 2005. [doi]

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