Optimization and stabilization of sequential learning in RBF network for nonlinear function approximation

W. S. Lim; J. W. L. Yeoh

doi:10.1587/elex.5.1030

Optimization and stabilization of sequential learning in RBF network for nonlinear function approximation

IEICE Electronics Express ◽

10.1587/elex.5.1030 ◽

2008 ◽

Vol 5 (23) ◽

pp. 1030-1035 ◽

Cited By ~ 1

Author(s):

W. S. Lim ◽

J. W. L. Yeoh

Keyword(s):

Function Approximation ◽

Nonlinear Function ◽

Sequential Learning ◽

Rbf Network ◽

Nonlinear Function Approximation

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Reconfigurable field‐programmable gate array‐based on‐chip learning neuromorphic digital implementation for nonlinear function approximation

International Journal of Circuit Theory and Applications ◽

10.1002/cta.3075 ◽

2021 ◽

Author(s):

Morteza Gholami ◽

Edris Zaman Farsa ◽

Gholamreza Karimi

Keyword(s):

Field Programmable Gate Array ◽

Function Approximation ◽

Nonlinear Function ◽

Digital Implementation ◽

Field Programmable ◽

Gate Array ◽

On Chip ◽

Nonlinear Function Approximation

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A spiking neural network architecture for nonlinear function approximation

Neural Networks ◽

10.1016/s0893-6080(01)00080-6 ◽

2001 ◽

Vol 14 (6-7) ◽

pp. 933-939 ◽

Cited By ~ 23

Author(s):

Nicolangelo Iannella ◽

Andrew D. Back

Keyword(s):

Neural Network ◽

Network Architecture ◽

Function Approximation ◽

Nonlinear Function ◽

Spiking Neural Network ◽

Neural Network Architecture ◽

Nonlinear Function Approximation

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Verification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation

International Journal of Engineering ◽

10.5829/idosi.ije.2015.28.10a.04 ◽

2015 ◽

Vol 28 (10 (A)) ◽

Keyword(s):

Neural Network ◽

Network Model ◽

Neural Network Model ◽

Function Approximation ◽

Nonlinear Function ◽

Wavelet Neural Network ◽

Nonlinear Function Approximation

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Dynamic sample size selection based quasi-Newton training for highly nonlinear function approximation using multilayer neural networks

The 2013 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2013.6706976 ◽

2013 ◽

Cited By ~ 2

Author(s):

Hiroshi Ninomiya

Keyword(s):

Neural Networks ◽

Sample Size ◽

Function Approximation ◽

Nonlinear Function ◽

Size Selection ◽

Highly Nonlinear ◽

Multilayer Neural Networks ◽

Nonlinear Function Approximation ◽

Quasi Newton

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Nonlinear function approximation using radial basis function neural networks

Student Conference on Research and Development SCORED-02 ◽

10.1109/scored.2002.1033124 ◽

2003 ◽

Cited By ~ 1

Author(s):

H. Husain ◽

M. Khalid ◽

R. Yusof

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Function Approximation ◽

Nonlinear Function ◽

Radial Basis ◽

Nonlinear Function Approximation

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Live Demonstration: Optimizing an Analog Neuron Circuit Design for Nonlinear Function Approximation

2018 IEEE International Symposium on Circuits and Systems (ISCAS) ◽

10.1109/iscas.2018.8351572 ◽

2018 ◽

Cited By ~ 1

Author(s):

Alexander Neckar ◽

Terrence Stewart ◽

Ben Benjamin ◽

Kwabena Boahen

Keyword(s):

Circuit Design ◽

Function Approximation ◽

Nonlinear Function ◽

Neuron Circuit ◽

Live Demonstration ◽

Nonlinear Function Approximation

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IT2CFNN: An interval type-2 correlation-aware fuzzy neural network to construct non-separable fuzzy rules with uncertain and adaptive shapes for nonlinear function approximation

Applied Soft Computing ◽

10.1016/j.asoc.2021.108258 ◽

2021 ◽

pp. 108258

Author(s):

Armin Salimi-Badr

Keyword(s):

Neural Network ◽

Function Approximation ◽

Fuzzy Neural Network ◽

Nonlinear Function ◽

Fuzzy Rules ◽

Fuzzy Neural ◽

Interval Type ◽

Nonlinear Function Approximation

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A New Two-Phase Approach to Fuzzy Modeling for Nonlinear Function Approximation

IEICE Transactions on Information and Systems ◽

10.1093/ietisy/e89-d.9.2473 ◽

2006 ◽

Vol E89-D (9) ◽

pp. 2473-2483 ◽

Cited By ~ 13

Author(s):

W. CHUNG

Keyword(s):

Function Approximation ◽

Nonlinear Function ◽

Fuzzy Modeling ◽

Two Phase ◽

Phase Approach ◽

Nonlinear Function Approximation

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Optimized Algorithm for Industrial Process Instrumentation Calibration based on Nonlinear Function Approximation

2007 International Symposium on Logistics and Industrial Informatics ◽

10.1109/lindi.2007.4343520 ◽

2007 ◽

Author(s):

Abhisek Ukil ◽

Andrea Andenna

Keyword(s):

Function Approximation ◽

Nonlinear Function ◽

Industrial Process ◽

Nonlinear Function Approximation

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Nonlinear Function Approximation Based on Neuro-Fuzzy Interpolators

Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems ◽

10.1007/978-94-009-0125-4_18 ◽

1995 ◽

pp. 187-195

Author(s):

Il Hong Suh ◽

Tae Won Kim

Keyword(s):

Function Approximation ◽

Nonlinear Function ◽

Neuro Fuzzy ◽

Nonlinear Function Approximation

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