A fast training algorithm for RBF networks based on subtractive clustering

Neurocomputing ◽

10.1016/s0925-2312(03)00342-4 ◽

2003 ◽

Vol 51 ◽

pp. 501-505 ◽

Author(s):

Haralambos Sarimveis ◽

Alex Alexandridis ◽

George Bafas

Keyword(s):

Subtractive Clustering ◽

Training Algorithm ◽

Rbf Networks ◽

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A fast training algorithm for support vector machine via boundary sample selection

International Conference on Neural Networks and Signal Processing, 2003. Proceedings of the 2003 ◽

10.1109/icnnsp.2003.1279203 ◽

2003 ◽

Author(s):

Xia Jiantao ◽

He Mingyi ◽

Wang Yuying ◽

Feng Yan

Keyword(s):

Support Vector Machine ◽

Sample Selection ◽

Support Vector ◽

Training Algorithm ◽

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NEW FAST TRAINING ALGORITHM SUITABLE FOR HARDWARE KOHONEN NEURAL NETWORKS DESIGNED FOR ANALYSIS OF BIOMEDICAL SIGNALS

Proceedings of the International Conference on Biomedical Electronics and Devices ◽

10.5220/0001536703640367 ◽

2009 ◽

Keyword(s):

Neural Networks ◽

Training Algorithm ◽

Biomedical Signals ◽

Fast Training ◽

Kohonen Neural Networks

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A two-pass hybrid training algorithm for RBF networks

2009 Fifth International Conference on Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control ◽

10.1109/icsccw.2009.5379482 ◽

2009 ◽

Author(s):

Gokhan Kayhan ◽

Ali Ekber Ozdemir ◽

Hanife Usta ◽

Ilyas Eminoglu

Keyword(s):

Training Algorithm ◽

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A two-pass hybrid training algorithm for RBF networks

2013 8th International Conference on Electrical and Electronics Engineering (ELECO) ◽

10.1109/eleco.2013.6713920 ◽

2013 ◽

Author(s):

Ali Ekber Ozdemir ◽

Ilyas Eminoglu

Keyword(s):

Training Algorithm ◽

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Fast Training Algorithm for Genetic Fuzzy Controllers and Application to an Inverted Pendulum with Free Cart

Advances in Intelligent Systems and Computing - Fuzzy Information Processing 2020 ◽

10.1007/978-3-030-81561-5_25 ◽

2021 ◽

pp. 301-311

Author(s):

Javier Viaña ◽

Kelly Cohen

Keyword(s):

Inverted Pendulum ◽

Training Algorithm ◽

Fuzzy Controllers ◽

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SVM Fast Training Algorithm Research Based on Multi-Lagrange Multiplier

Journal of Computer Research and Development ◽

10.1360/crad20060311 ◽

2006 ◽

Vol 43 (3) ◽

pp. 442 ◽

Author(s):

Ning Ye

Keyword(s):

Lagrange Multiplier ◽

Training Algorithm ◽

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MLSVM4—An SVM Fast Training Algorithm Based on Multi-Lagrange Multiplier

Journal of Computer Research and Development ◽

10.1360/crad20050902 ◽

2005 ◽

Vol 42 (9) ◽

pp. 1467 ◽

Author(s):

Ning Ye

Keyword(s):

Lagrange Multiplier ◽

Training Algorithm ◽

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Fast training algorithm for feedforward neural networks: application to crowd estimation at underground stations

Artificial Intelligence in Engineering ◽

10.1016/s0954-1810(99)00016-3 ◽

1999 ◽

Vol 13 (3) ◽

pp. 301-307 ◽

Author(s):

T.W.S. Chow ◽

J.Y.-F. Yam ◽

S.-Y Cho

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Training Algorithm ◽

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Research on fast training algorithm for recurrent neural network

ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570) ◽

10.1109/isie.2001.931831 ◽

2002 ◽

Author(s):

Dunwei Gong ◽

Shifan Xu ◽

Xiaoyan Sun

Keyword(s):

Neural Network ◽

Recurrent Neural Network ◽

Training Algorithm ◽

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A Fast Training Algorithm for Feedforward Neural Networks

ICANN ’93 ◽

10.1007/978-1-4471-2063-6_157 ◽

1993 ◽

pp. 565-565

Author(s):

Y. F. Yam ◽

T. W. S. Chow

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Training Algorithm ◽

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