Zobrazeno 1 - 10 of 67 pro vyhledávání: '"Seok-Beom Roh"'
2
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection
Autor: Sung-Kwun Oh, Witold Pedrycz, Seok-Beom Roh, Zunwei Fu
Publikováno v: IEEE Transactions on Neural Networks and Learning Systems. 33:1385-1399
The two issues on dynamically generated hierarchical neural networks such as the sort of basic neurons and how to compose a layer are considered in this article. On the first issue, a variant version of the least-square support vector regression (SVR
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad5b5892a177a519d1f881da805dc69f
https://doi.org/10.1109/tnnls.2020.3041947
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4
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation
Autor: Seok-Beom Roh, Witold Pedrycz, Sung-Kwun Oh, Zunwei Fu
Publikováno v: IEEE Transactions on Fuzzy Systems. 29:569-583
Neural networks (NNs) with least square error (LSE) estimation form a certain type of single hidden layer feed-forward NNs. In this class of networks, the input connections (weights) and the biases of hidden neurons are generated randomly and fixed a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::47455b0792f6251153714a003ae019a1
https://doi.org/10.1109/tfuzz.2019.2956903
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7
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering
Autor: Seok-Beom Roh, Zunwei Fu, Kisung Seo, Sung-Kwun Oh, Witold Pedrycz
Publikováno v: International Journal of Approximate Reasoning. 106:228-243
In this study, a new design method for Fuzzy Radial Basis Function Neural Networks classifier is proposed. The proposed approach is based on conditional Fuzzy C-Means clustering algorithm realized with the aid of auxiliary information, which is extra
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::54853695ee2e988f5ac2a76839e77a26
https://doi.org/10.1016/j.ijar.2019.01.008
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9
Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers
Autor: Tae-Chon Ahn, Jihong Wang, Seok-Beom Roh, Yong-Soo Kim
Publikováno v: International Journal of Fuzzy Systems. 21:639-654
For prototype-based classifiers, the number of prototypes results in increasing the computational time so that it takes very long time for a prototype-based classifier to determine the class label of an associated data. Many researchers have been int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f29f0a531864d22e8e7dc460afe35c7c
https://doi.org/10.1007/s40815-018-0562-8
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10
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation
Autor: Witold Pedrycz, Sung-Kwun Oh, Seok-Beom Roh
Publikováno v: IEEE Transactions on Industrial Informatics. 14:1802-1813
The performance enhancement of system identification of various plastic materials to effectively recycle the waste plastics arises as a key issue studied here. For black plastics, which contain carbon black, one is unable to discriminate it from othe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34b774c0ee211905f7101a2b7b445d8e
https://doi.org/10.1109/tii.2017.2771254
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