Self-Organizing Polynomial Neural Networks Based on Genetically Optimized Multi-Layer Perceptron Architecture |
Park, Ho-Sung
(Dept. of Electrical Electronic & Information Engineering, Wonkwang University)
Park, Byoung-Jun (Dept. of Electrical Electronic & Information Engineering, Wonkwang University) Kim, Hyun-Ki (Dept. of Electrical Engineering, Suwon University) Oh, Sung-Kwun (Dept. of Electrical Electronic & Information Engineering, Wonkwang University) |
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Comparison of adaptive methods for function estimation from samples
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DOI ScienceOn |
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The review of problems solvable by algorithms of the group method of data handling (GMDH)
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Self-organization of neural networks with active neurons
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The design of selforganizing polynomial neural networks
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DOI |
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Polynomial neural networks architecture: analysis and design
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DOI ScienceOn |
7 |
Evolutionary optimization of fuzzy models in fuzzy logic: A framework for the new millennium
/
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8 |
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9 |
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10 |
Fuzzy function approximation with ellipsoidal rules
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DOI ScienceOn |
11 |
Polynomial theory of complex systems
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Hybrid identification in fuzzy-neural networks
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DOI ScienceOn |
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Fuzzy relation-based neural-networks and their hybrid identification
/
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14 |
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Modeling and self-tuning control of a multivariable pH neutralization process
/
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Time optimal and Ziegler-Nichols control
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DOI |
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Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling
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DOI ScienceOn |
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Optimal design of self-organizing polynomial neural networks by means of genetic algorithms
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Dynamic modeling and reaction invariant control of pH
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DOI ScienceOn |
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Modeling pH neutralization processes using fuzzy-neural approaches
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DOI ScienceOn |
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Genetically optimized rule-based fuzzy polynomial neural networks: synthesis of computational intelligence technologies
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Hybrid identification of fuzzy rule-based models
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DOI ScienceOn |
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Are genetic algorithms function optimizers?
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Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear system
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DOI ScienceOn |
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Comparison of linear and nonlinear adaptive control of a pH-process
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DOI |
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Fuzzy control of pH using genetic algorithms
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DOI ScienceOn |
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Dynamics of pH in controlled stirred tank reactor
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DOI |
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Selforganizing neurofuzzy networks based on evolutionary fuzzy granulation
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