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Publication search results
found 61 matches
- 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): 15443-15462 (2023) - 2022
- Yue Li, Xiaoyun Jia, Ruili Wang, Jianfang Qi, Haibin Jin, Xiaoquan Chu, Weisong Mu:
A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction. Expert Syst. Appl. 199: 116982 (2022) - 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): 2506-2520 (2021) - 2020
- Davar Giveki, Maryam Karami:
Scene classification using a new radial basis function classifier and integrated SIFT-LBP features. Pattern Anal. Appl. 23(3): 1071-1084 (2020) - Karl Thurnhofer-Hemsi, Ezequiel López-Rubio, Miguel A. Molina-Cabello, Kayvan Najarian:
Radial basis function kernel optimization for Support Vector Machine classifiers. CoRR abs/2007.08233 (2020) - 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): 929-949 (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: 228-243 (2019) - Mrutyunjaya Panda:
Software Defect Prediction Using Hybrid Distribution Base Balance Instance Selection and Radial Basis Function Classifier. Int. J. Syst. Dyn. Appl. 8(3): 53-75 (2019) - 2018
- Mahnaz Mohammadi, Akhil Krishna, Nalesh Sivanandan, S. K. Nandy:
A Hardware Architecture for Radial Basis Function Neural Network Classifier. IEEE Trans. Parallel Distributed Syst. 29(3): 481-495 (2018) - Anthony Stein, Simon Menssen, Jörg Hähner:
What about interpolation?: a radial basis function approach to classifier prediction modeling in XCSF. GECCO 2018: 537-544 - Mrutyunjaya Panda:
DBBRBF- Convalesce optimization for software defect prediction problem using hybrid distribution base balance instance selection and radial basis Function classifier. CoRR abs/1806.03260 (2018) - 2017
- Agus Maman Abadi, Dhoriva Urwatul Wutsqa, Leonardus Ragil Pamungkas:
Detection of lung cancer using radiograph images enhancement and radial basis function classifier. CISP-BMEI 2017: 1-6 - 2016
- I Jasmine Selvakumari Jeya, S. N. Deepa:
Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier. Comput. Math. Methods Medicine 2016: 7493535:1-7493535:15 (2016) - Mohammad Amini, Jalal Rezaeenour, Esmaeil Hadavandi:
A Neural Network Ensemble Classifier for Effective Intrusion Detection Using Fuzzy Clustering and Radial Basis Function Networks. Int. J. Artif. Intell. Tools 25(2): 1550033:1-1550033:30 (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): 434-454 (2016) - Ch. Sanjeev Kumar Dash, Amitav Saran, Pulak Sahoo, Satchidananda Dehuri, Sung-Bae Cho:
Design of self-adaptive and equilibrium differential evolution optimized radial basis function neural network classifier for imputed database. Pattern Recognit. Lett. 80: 76-83 (2016) - Snehalika Lall, Anuradha Saha, Amit Konar, Mousumi Laha, Anca L. Ralescu, Kalyan kumar Mallik, Atulya K. Nagar:
EEG-based mind driven type writer by fuzzy radial basis function neural classifier. IJCNN 2016: 1076-1082 - 2015
- Yiannis Kokkinos, Konstantinos G. Margaritis:
Topology and simulations of a Hierarchical Markovian Radial Basis Function Neural Network classifier. Inf. Sci. 294: 612-627 (2015) - 2014
- Vanya Van Belle, Paulo Lisboa:
White box radial basis function classifiers with component selection for clinical prediction models. Artif. Intell. Medicine 60(1): 53-64 (2014) - Xia Hong, Sheng Chen, Abdulrohman Qatawneh, Khaled Daqrouq, Muntasir Sheikh, Ali Morfeq:
A radial basis function network classifier to maximise leave-one-out mutual information. Appl. Soft Comput. 23: 9-18 (2014) - Alex Alexandridis, Eva Chondrodima:
A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. J. Biomed. Informatics 49: 61-72 (2014) - Mohammad Taheri, Mansoor Zolghadri Jahromi:
Study on equality conditions of fuzzy rule-based classification systems to radial basis functions, SVM and nearest neighbor classifiers. J. Intell. Fuzzy Syst. 27(4): 1923-1934 (2014) - Tae-Chon Ahn, Seok-Beom Roh, Zi Long Yin, Yong-Soo Kim:
Design of Radial Basis Function Classifier Based on Polynomial Neural Networks. Soft Computing in Artificial Intelligence 2014: 107-115 - 2013
- Giovanni Luca Masala, Bruno Golosio, R. Cutzu, Roberto Pola:
A two-layered classifier based on the radial basis function for the screening of thalassaemia. Comput. Biol. Medicine 43(11): 1724-1731 (2013) - 2012
- Ramaswamy Savitha, Suresh Sundaram, Narasimhan Sundararajan, H. J. Kim:
A fully complex-valued radial basis function classifier for real-valued classification problems. Neurocomputing 78(1): 104-110 (2012) - 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: 38-45 - 2011
- Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris:
On combination of SMOTE and particle swarm optimization based radial basis function classifier for imbalanced problems. IJCNN 2011: 1146-1153 - 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: 464-473 - 2010
- Julián Luengo, Salvador García, Francisco Herrera:
A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method. Neural Networks 23(3): 406-418 (2010) - Konrad Jackowski:
Multiple Classifier System with Radial Basis Weight Function. HAIS (1) 2010: 540-547
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