Sung-Kwun Oh

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 60

Top Venues

IEEE Trans. Fuzzy Syst.

Fuzzy Sets Syst.

Neurocomputing

SCIS&ISIS

Publications

Wei Huang, Mingxi Sun, Liehuang Zhu, Sung-Kwun Oh, Witold Pedrycz
Deep Fuzzy Min-Max Neural Network: Analysis and Design. IEEE Trans. Neural Networks Learn. Syst. 35 (6) (2024)
Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo, Jin Hee Yoon
Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture. IEEE Trans. Fuzzy Syst. 32 (5) (2024)
Mingjie Gao, Wei Huang, Zhilei Xu, Sung-Kwun Oh
Hybrid Ensemble Polynomial Neural Network Classifier: Analysis and Design. CSCWD (2024)
Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz
Incremental Fuzzy Clustering-Based Neural Networks Driven With the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models. IEEE Trans. Cybern. 54 (5) (2024)
Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Jin Hee Yoon
Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning. IEEE Trans. Fuzzy Syst. 32 (3) (2024)
Mingjie Gao, Wei Huang, Shaohua Wan, Sung-Kwun Oh, Witold Pedrycz
Cascade AdaBoost Neural Network Classifier: Analysis and Design. J. Circuits Syst. Comput. 33 (7) (2024)
Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Kisung Seo
A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. Knowl. Based Syst. 289 (2024)
Shuangrong Liu, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang, Zhen Peng
SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure. IEEE Trans. Fuzzy Syst. 32 (7) (2024)
Sang-Beom Park, Sung-Kwun Oh, Eun-Hu Kim, Witold Pedrycz
Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. Expert Syst. Appl. 219 (2023)
Zhen Wang, Sung-Kwun Oh, Zheng Wang, Zunwei Fu, Witold Pedrycz, Jin Hee Yoon
Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies. Fuzzy Sets Syst. 470 (2023)
Sang-Beom Park, Sung-Kwun Oh, Witold Pedrycz
Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization. Soft Comput. 27 (21) (2023)
Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function. Eng. Appl. Artif. Intell. 117 (Part) (2023)
Kun Zhou, Sung-Kwun Oh, Jianlong Qiu, Witold Pedrycz, Kisung Seo
Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features. IEEE Trans. Fuzzy Syst. 31 (3) (2023)
Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu
regularization strategy and augmented random vector functional link network. Fuzzy Sets Syst. 443 (Part) (2022)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. IEEE Trans. Fuzzy Syst. 30 (10) (2022)
Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Eun-Hu Kim, Zunwei Fu
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. Neurocomputing 486 (2022)
Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz
Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations. Fuzzy Sets Syst. 443 (Part) (2022)
Zheng Wang, Sung-Kwun Oh, Eun-Hu Kim, Zunwei Fu, Witold Pedrycz
Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. IEEE Access 10 (2022)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zheng Wang, Zunwei Fu, Kisung Seo
Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 30 (10) (2022)
Shengmin Zhao, Sung-Kwun Oh, Jin-Yul Kim, Zunwei Fu, Witold Pedrycz
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks. Pattern Recognit. 132 (2022)
Cheng Yang, Zheng Wang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang
Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning. Fuzzy Sets Syst. 438 (2022)
Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Lin Wang
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications. Expert Syst. Appl. 202 (2022)
Liangliang Zhang, Lin Wang, Bo Yang, Sijie Niu, Yamin Han, Sung-Kwun Oh
Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration. Pattern Recognit. 124 (2022)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. IEEE Trans. Neural Networks Learn. Syst. 33 (4) (2022)
Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Lin Wang
A Promotive Particle Swarm Optimizer With Double Hierarchical Structures. IEEE Trans. Cybern. 52 (12) (2022)
Hao Huang, Sung-Kwun Oh, Chuan-Kun Wu, Witold Pedrycz
Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique. Neurocomputing 482 (2022)
Yueyue Xiao, Wei Huang, Sung-Kwun Oh, Liehuang Zhu
A polynomial kernel neural network classifier based on random sampling and information gain. Appl. Intell. 52 (6) (2022)
Kun Zhou, Sung-Kwun Oh, Witold Pedrycz, Jianlong Qiu, Zunwei Fu, Byung-Gun Ryu
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy. Adv. Eng. Informatics 53 (2022)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function. Neurocomputing 458 (2021)
Congcong Zhang, Sung-Kwun Oh, Zunwei Fu
Hierarchical polynomial-based fuzzy neural networks driven with the aid of hybrid network architecture and ranking-based neuron selection strategies. Appl. Soft Comput. 113 (Part) (2021)
Cheng Yang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Bo Yang
Design of Reinforced Fuzzy Radial Basis Function Neural Network Classifier Driven With the Aid of Iterative Learning Techniques and Support Vector-Based Clustering. IEEE Trans. Fuzzy Syst. 29 (9) (2021)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation. IEEE Trans. Fuzzy Syst. 29 (3) (2021)
Cheng Yang, Sung-Kwun Oh, Bo Yang, Witold Pedrycz, Zunwei Fu
Fuzzy quasi-linear SVM classifier: Design and analysis. Fuzzy Sets Syst. 413 (2021)
Congcong Zhang, Sung-Kwun Oh, Zunwei Fu
Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques. Inf. Sci. 542 (2021)
Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection. IEEE Trans. Fuzzy Syst. 29 (11) (2021)
Liangliang Zhang, Sung-Kwun Oh, Witold Pedrycz, Bo Yang, Yamin Han
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks. Appl. Soft Comput. 112 (2021)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu
Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. IEEE Trans. Fuzzy Syst. 28 (3) (2020)
Zheng Wang, Cheng Yang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz
Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information. IEEE Access 8 (2020)
Congcong Zhang, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu, Shanzhen Lu
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. CoRR (2020)
Congcong Zhang, Sung-Kwun Oh, Zunwei Fu, Witold Pedrycz
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy. Neurocomputing 417 (2020)
Eun-Hu Kim, Jun-Hyun Ko, Sung-Kwun Oh, Kisung Seo
Design of meteorological pattern classification system based on FCM-based radial basis function neural networks using meteorological radar data. Soft Comput. 23 (6) (2019)
Seok-Beom Roh, Sung-Kwun Oh, Jin Hee Yoon, Kisung Seo
Design of face recognition system based on fuzzy transform and radial basis function neural networks. Soft Comput. 23 (13) (2019)
Jong-Soo Bae, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy. Appl. Intell. 49 (3) (2019)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo, Zunwei Fu
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. Int. J. Approx. Reason. 106 (2019)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons. IEEE Trans. Neural Networks Learn. Syst. 29 (8) (2018)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation. IEEE Trans. Ind. Informatics 14 (5) (2018)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz
Design of double fuzzy clustering-driven context neural networks. Neural Networks 104 (2018)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz
Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz
Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. Neurocomputing 303 (2018)
Eun-Hu Kim, Sung-Kwun Oh, Witold Pedrycz
Reinforced rule-based fuzzy models: Design and analysis. Knowl. Based Syst. 119 (2017)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design. IEEE Trans. Fuzzy Syst. 25 (5) (2017)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons. Appl. Intell. 46 (2) (2017)
Jong-Soo Bae, Sung-Kwun Oh, Eun Ok Kim
Design of Classification of Black Plastics Based on Fuzzy Radial Basis Fnction Neural Networks Using Raman Spectroscopy. SCIS&ISIS (2016)
Wook-Dong Kim, Sung-Kwun Oh, Kisung Seo
Design of Interval Type-2 FCM-Based Neural Networks. SCIS&ISIS (2016)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. Int. J. Gen. Syst. 45 (4) (2016)
Seok-Beom Roh, Sung-Kwun Oh, Eun Kyu Park, Woo Zin Choi
Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification. SCIS&ISIS (2016)
Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz
A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem. Fuzzy Sets Syst. 305 (2016)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Kisung Seo
Development of autofocusing algorithm based on fuzzy transforms. Fuzzy Sets Syst. 288 (2016)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. SCIS&ISIS (2016)
Sun-Hwan Kim, Sung-Kwun Oh, Jin-Yul Kim
Design of Face Recognition System Realized with the Aid of PCA-Based RBFNN. SCIS&ISIS (2016)
Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz
Optimized face recognition algorithm using radial basis function neural networks and its practical applications. Neural Networks 69 (2015)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs). Neural Networks 60 (2014)
Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39 (1) (2014)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Kisung Seo
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. Fuzzy Sets Syst. 237 (2014)
Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz
A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36 (1) (2013)
W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz
Growing rule-based fuzzy model developed with the aid of fuzzy clustering. IFSA/NAFIPS (2013)
Wei Huang, Sung-Kwun Oh, Zhaolu Guo, Witold Pedrycz
A space search optimization algorithm with accelerated convergence strategies. Appl. Soft Comput. 13 (12) (2013)
Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz
The design of polynomial function-based neural network predictors for detection of software defects. Inf. Sci. 229 (2013)
Wei Huang, Sung-Kwun Oh, Witold Pedrycz
A fuzzy time-dependent project scheduling problem. Inf. Sci. 246 (2013)
W.-D. Kim, Sung-Kwun Oh, Kisung Seo, Witold Pedrycz
A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. IFSA/NAFIPS (2013)
Sung-Hoon Yoo, Sung-Kwun Oh, Witold Pedrycz
Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. IFSA/NAFIPS (2013)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119 (2013)
Sung-Kwun Oh, Sung-Hoon Yoo, Witold Pedrycz
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application. Expert Syst. Appl. 40 (5) (2013)
Wook-Dong Kim, Sung-Kwun Oh, Jeong-Tae Kim
Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method. ISNN (2) (2012)
Sung-Hoon Yoo, Sung-Kwun Oh, Kisung Seo
Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks. ISNN (2) (2012)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution. Neurocomputing 78 (1) (2012)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25 (3) (2012)
Ho-Sung Park, Witold Pedrycz, Y.-D. Chung, Sung-Kwun Oh
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. Expert Syst. Appl. 39 (1) (2012)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park
Design of context-FCM based RBF neural networks with the aid of data information granulation. RACS (2012)
Wei Huang, Sung-Kwun Oh
Fuzzy Relation-Based Polynomial Neural Networks Based on Hybrid Optimization. ISNN (1) (2012)
Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering. ISNN (1) (2012)
Chang-Min Ma, Sung-Hoon Yoo, Sung-Kwun Oh
A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs. ISNN (2) (2012)
Byoung-Jun Park, Jeoung-Nae Choi, Wook-Dong Kim, Sung-Kwun Oh
Analytic design of information granulation-based fuzzy radial basis function neural networks with the aid of multiobjective particle swarm optimization. Int. J. Intell. Comput. Cybern. 5 (1) (2012)
Ho-Sung Park, Y.-D. Chung, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. Eng. Appl. Artif. Intell. 24 (3) (2011)
Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz
Optimized fuzzy PD cascade controller: A comparative analysis and design. Simul. Model. Pract. Theory 19 (1) (2011)
Sung-Kwun Oh, Han-Jong Jang, Witold Pedrycz
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. Expert Syst. Appl. 38 (9) (2011)
Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz
Design of fuzzy radial basis function-based polynomial neural networks. Fuzzy Sets Syst. 185 (1) (2011)
Wei Huang, Sung-Kwun Oh, Keon-Jun Park, Yong-Kab Kim
A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms. RACS (2011)
Wei Huang, Lixin Ding, Sung-Kwun Oh
Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning. ISNN (3) (2011)
Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh
Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks. J. Frankl. Inst. 348 (2) (2011)
Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim
Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization. ISNN (1) (2011)
Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163 (1) (2011)
Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules. RACS (2011)
Wei Huang, Sung-Kwun Oh, Jeong-Tae Kim
Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method. ISNN (3) (2011)
Wei Huang, Lixin Ding, Sung-Kwun Oh
A Experimental Study on Space Search Algorithm in ANFIS-Based Fuzzy Models. ISNN (1) (2010)
Seok-Beom Roh, Su-Chong Joo, Witold Pedrycz, Sung-Kwun Oh
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. Neurocomputing 73 (13-15) (2010)
Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim
Hybrid optimization of information granulation-based fuzzy radial basis function neural networks. Int. J. Intell. Comput. Cybern. 3 (4) (2010)
Jeoung-Nae Choi, Sung-Kwun Oh, Hyun-Ki Kim
Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II. ISNN (1) (2010)
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeong, Su-Chong Joo
Identification of Fuzzy Inference System Based on Information Granulation. KSII Trans. Internet Inf. Syst. 4 (4) (2010)
Byoung-Jun Park, Witold Pedrycz, Sung-Kwun Oh
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. Appl. Intell. 32 (1) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sung-Kwun Oh