Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation

Advances in Neural Networks — ISNN 2005 - Lecture Notes in Computer Science ◽

10.1007/11427391_68 ◽

2005 ◽

pp. 428-433 ◽

Cited By ~ 2

Author(s):

Sungkwun Oh ◽

Seokbeom Roh ◽

Yongkab Kim

Keyword(s):

Neural Networks ◽

Fuzzy Set ◽

Information Granulation

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Design of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Encoding and Information Granulation

Computational Science – ICCS 2007 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-72590-9_162 ◽

2007 ◽

pp. 1076-1083

Author(s):

Sung-Kwun Oh ◽

In-Tae Lee ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Fuzzy Set ◽

Information Granulation

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An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation

Neural Information Processing - Lecture Notes in Computer Science ◽

10.1007/11893295_109 ◽

2006 ◽

pp. 993-1001

Author(s):

Seok-Beom Roh ◽

Hyung-Soo Hwang ◽

Tae-Chon Ahn

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Fuzzy Set ◽

Design Methodology ◽

Information Granulation ◽

Gene Type

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Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation

Applied Soft Computing ◽

10.1016/j.asoc.2009.02.007 ◽

2009 ◽

Vol 9 (3) ◽

pp. 1068-1089 ◽

Cited By ~ 29

Author(s):

Sung-Kwun Oh ◽

Witold Pedrycz ◽

Seok-Beom Roh

Keyword(s):

Neural Networks ◽

Fuzzy Set ◽

Genetic Optimization ◽

Information Granulation

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Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs

Modeling Decisions for Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11526018_34 ◽

2005 ◽

pp. 346-353 ◽

Cited By ~ 1

Author(s):

Ho-Sung Park ◽

Sung-Kwun Oh ◽

Witold Pedrycz ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Information Granulation ◽

Self Organizing

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Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II

Advances in Neural Networks - ISNN 2010 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-13278-0_28 ◽

2010 ◽

pp. 215-222

Author(s):

Jeoung-Nae Choi ◽

Sung-Kwun Oh ◽

Hyun-Ki Kim

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Nsga Ii ◽

Information Granulation ◽

Radial Basis

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Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization

Advances in Neural Networks – ISNN 2009 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-01510-6_15 ◽

2009 ◽

pp. 127-134 ◽

Cited By ~ 4

Author(s):

Jeoung-Nae Choi ◽

Young-Il Lee ◽

Sung-Kwun Oh

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Genetic Optimization ◽

Information Granulation ◽

Radial Basis

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Application of fuzzy set theory and back-propagation neural networks in progressive die design

Journal of Manufacturing Systems ◽

10.1016/0278-6125(96)84552-3 ◽

1996 ◽

Vol 15 (4) ◽

pp. 268-281 ◽

Cited By ~ 12

Author(s):

Zone-Ching Lin ◽

Ho Chang

Keyword(s):

Neural Networks ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Back Propagation ◽

Die Design ◽

Progressive Die ◽

Back Propagation Neural Networks ◽

Progressive Die Design

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From local neural networks to granular neural networks: A study in information granulation

Neurocomputing ◽

10.1016/j.neucom.2011.08.009 ◽

2011 ◽

Vol 74 (18) ◽

pp. 3931-3940 ◽

Cited By ~ 6

Author(s):

Mingli Song ◽

Witold Pedrycz

Keyword(s):

Neural Networks ◽

Information Granulation ◽

Granular Neural Networks

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Pigeon-inspired optimization approach to information granulation-based fuzzy RBF neural networks for image fusion

2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC) ◽

10.1109/cgncc.2016.7829084 ◽

2016 ◽

Author(s):

Zizhuo Wang ◽

Fangyuan Sui ◽

Jiaqi Jia ◽

Haibin Duan

Keyword(s):

Neural Networks ◽

Image Fusion ◽

Optimization Approach ◽

Rbf Neural Networks ◽

Information Granulation

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Fault diagnosis of power transformers: application of fuzzy set theory, expert systems and artificial neural networks

IEE Proceedings - Science Measurement and Technology ◽

10.1049/ip-smt:19970856 ◽

1997 ◽

Vol 144 (1) ◽

pp. 39-44 ◽

Cited By ~ 42

Author(s):

W. Xu ◽

Z. Zhou ◽

H. Chen ◽

D. Wang

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Expert Systems ◽

Set Theory ◽

Fuzzy Set ◽

Fuzzy Set Theory ◽

Power Transformers ◽

Artificial Neural

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