On the Weak Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks in a Time-Varying Environment

Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31464-3_43 ◽

2012 ◽

pp. 427-434

Author(s):

Piotr Duda ◽

Yoichi Hayashi

Keyword(s):

Neural Networks ◽

Weak Convergence ◽

Orthogonal Series ◽

Time Varying ◽

Probabilistic Neural Networks ◽

Series Type ◽

Time Varying Environment ◽

Varying Environment

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On the Uniform Convergence of the Orthogonal Series-Type Kernel Regression Neural Networks in a Time-Varying Environment

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29347-4_5 ◽

2012 ◽

pp. 39-46

Author(s):

Meng Joo Er ◽

Piotr Duda

Keyword(s):

Neural Networks ◽

Uniform Convergence ◽

Orthogonal Series ◽

Kernel Regression ◽

Time Varying ◽

Series Type ◽

Time Varying Environment ◽

Varying Environment

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Learning in a Time-Varying Environment by Making Use of the Stochastic Approximation and Orthogonal Series-Type Kernel Probabilistic Neural Network

Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31464-3_55 ◽

2012 ◽

pp. 539-548

Author(s):

Jacek M. Zurada ◽

Maciej Jaworski

Keyword(s):

Neural Network ◽

Stochastic Approximation ◽

Orthogonal Series ◽

Probabilistic Neural Network ◽

Time Varying ◽

Series Type ◽

Time Varying Environment ◽

Varying Environment

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Probabilistic Neural Networks for Pattern Classification in a Time-Varying Environment

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-40046-2_6 ◽

2004 ◽

pp. 135-167

Author(s):

Leszek Rutkowski

Keyword(s):

Neural Networks ◽

Pattern Classification ◽

Time Varying ◽

Probabilistic Neural Networks ◽

Time Varying Environment ◽

Varying Environment

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On the Strong Convergence of the Recursive Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Time-Varying Noise

Artificial Intelligence and Soft Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-29347-4_7 ◽

2012 ◽

pp. 55-62

Author(s):

Piotr Duda ◽

Marcin Korytkowski

Keyword(s):

Neural Networks ◽

Strong Convergence ◽

Orthogonal Series ◽

Handling Time ◽

Time Varying ◽

Probabilistic Neural Networks ◽

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Adaptive Probabilistic Neural Networks for Pattern Classification in Time-Varying Environment

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2004.828757 ◽

2004 ◽

Vol 15 (4) ◽

pp. 811-827 ◽

Author(s):

L. Rutkowski

Keyword(s):

Neural Networks ◽

Pattern Classification ◽

Time Varying ◽

Probabilistic Neural Networks ◽

Time Varying Environment ◽

Varying Environment

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Generalized Regression Neural Networks in a Time-Varying Environment

New Soft Computing Techniques for System Modeling, Pattern Classification and Image Processing - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-40046-2_5 ◽

2004 ◽

pp. 73-134

Author(s):

Leszek Rutkowski

Keyword(s):

Neural Networks ◽

Time Varying ◽

Generalized Regression Neural Networks ◽

Generalized Regression ◽

Time Varying Environment ◽

Varying Environment

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Generalized Regression Neural Networks in Time-Varying Environment

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2004.826127 ◽

2004 ◽

Vol 15 (3) ◽

pp. 576-596 ◽

Author(s):

L. Rutkowski

Keyword(s):

Neural Networks ◽

Time Varying ◽

Generalized Regression Neural Networks ◽

Generalized Regression ◽

Time Varying Environment ◽

Varying Environment

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On the Weak Convergence of the Orthogonal Series-Type Kernel Regresion Neural Networks in a Non-stationary Environment

Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31464-3_45 ◽

2012 ◽

pp. 443-450 ◽

Author(s):

Meng Joo Er ◽

Piotr Duda

Keyword(s):

Neural Networks ◽

Weak Convergence ◽

Orthogonal Series ◽

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On the Cesaro Orthogonal Series-Type Kernel Probabilistic Neural Networks Handling Non-stationary Noise

Parallel Processing and Applied Mathematics - Lecture Notes in Computer Science ◽

10.1007/978-3-642-31464-3_44 ◽

2012 ◽

pp. 435-442 ◽

Author(s):

Piotr Duda ◽

Jacek M. Zurada

Keyword(s):

Neural Networks ◽

Orthogonal Series ◽

Probabilistic Neural Networks ◽

Stationary Noise ◽

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Population Growth in a Time-Varying Environment

Introduction to Population Modeling ◽

10.1007/978-1-4684-7322-3_5 ◽

1979 ◽

pp. 47-58

Author(s):

James C. Frauenthal

Keyword(s):

Population Growth ◽

Time Varying ◽

Time Varying Environment ◽

Varying Environment

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