A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization

Sung-Kwun Oh; Witold Pedrycz

doi:10.1016/j.physleta.2005.06.100

A new approach to self-organizing fuzzy polynomial neural networks guided by genetic optimization

Physics Letters A ◽

10.1016/j.physleta.2005.06.100 ◽

2005 ◽

Vol 345 (1-3) ◽

pp. 88-100 ◽

Cited By ~ 9

Author(s):

Sung-Kwun Oh ◽

Witold Pedrycz

Keyword(s):

Neural Networks ◽

Genetic Optimization ◽

New Approach ◽

Self Organizing

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A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization

Advanced Engineering Informatics ◽

10.1016/j.aei.2004.05.001 ◽

2004 ◽

Vol 18 (1) ◽

pp. 29-39 ◽

Cited By ~ 5

Author(s):

Sung-Kwun Oh ◽

Witold Pedrycz

Keyword(s):

Neural Networks ◽

Genetic Optimization ◽

New Approach ◽

Self Organizing

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The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method

International Journal of Approximate Reasoning ◽

10.1016/j.ijar.2006.01.003 ◽

2006 ◽

Vol 43 (1) ◽

pp. 26-58 ◽

Cited By ~ 3

Author(s):

Sung-Kwun Oh ◽

Witold Pedrycz

Keyword(s):

Neural Networks ◽

Genetic Optimization ◽

Self Organizing

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A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies

Advances in Neural Networks – ISNN 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-28647-9_28 ◽

2004 ◽

pp. 162-167

Author(s):

Ho-Sung Park ◽

Sung-Kwun Oh ◽

Witold Pedrycz ◽

Daehee Park ◽

Yongkab Kim

Keyword(s):

Neural Networks ◽

Computational Intelligence ◽

New Approach ◽

Self Organizing

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Hybrid architecture of the neural networks and self-organizing approximator technique: A new approach to nonlinear system modeling

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483) ◽

10.1109/icsmc.2003.1243908 ◽

2004 ◽

Author(s):

Dong-Won Kim ◽

Gwi-Tae Park

Keyword(s):

Neural Networks ◽

Nonlinear System ◽

System Modeling ◽

Hybrid Architecture ◽

New Approach ◽

Nonlinear System Modeling ◽

The Neural Networks ◽

Self Organizing

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A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms

Advances in Neural Networks – ISNN 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-28647-9_30 ◽

2004 ◽

pp. 174-179

Author(s):

Sung-Kwun Oh ◽

Byoung-Jun Park ◽

Witold Pedrycz ◽

Yong-Soo Kim

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

New Approach ◽

Self Organizing

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Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization

Computational Science - ICCS 2004 - Lecture Notes in Computer Science ◽

10.1007/978-3-540-24687-9_23 ◽

2004 ◽

pp. 179-187 ◽

Cited By ~ 1

Author(s):

S. K. Oh ◽

W. Pedrycz ◽

H. K. Kim ◽

J. B. Lee

Keyword(s):

Neural Networks ◽

Genetic Optimization ◽

Self Organizing

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Review of Pattern Recognition by Self-Organizing Neural Networks.

Contemporary Psychology ◽

10.1037/004153 ◽

1995 ◽

Vol 40 (11) ◽

pp. 1110-1110

Author(s):

Stephen James Thomas

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Self Organizing

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Spam Review Detection Using Self-organizing Maps and Convolutional Neural Networks

Computers & Security ◽

10.1016/j.cose.2021.102274 ◽

2021 ◽

pp. 102274

Author(s):

Ashraf Neisari ◽

Luis Rueda ◽

Sherif Saad

Keyword(s):

Neural Networks ◽

Convolutional Neural Networks ◽

Self Organizing Maps ◽

Self Organizing

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Embedding Multiple Trajectories in Simulated Recurrent Neural Networks in a Self-Organizing Manner

Journal of Neuroscience ◽

10.1523/jneurosci.2358-09.2009 ◽

2009 ◽

Vol 29 (42) ◽

pp. 13172-13181 ◽

Cited By ~ 53

Author(s):

J. K. Liu ◽

D. V. Buonomano

Keyword(s):

Neural Networks ◽

Recurrent Neural Networks ◽

Self Organizing

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A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks

IEEE Transactions on Industrial Electronics ◽

10.1109/tie.2006.878300 ◽

2006 ◽

Vol 53 (4) ◽

pp. 1309-1321 ◽

Cited By ~ 13

Author(s):

S.-K. Oh ◽

W. Pedrycz ◽

H.-S. Park

Keyword(s):

Neural Networks ◽

New Approach

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