Adaptive annealing learning algorithm-based robust wavelet neural networks for function approximation with outliers

Shyi-Shiun Kuo; Chia-Nan Ko

doi:10.1007/s10015-014-0150-4

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Adaptive annealing learning algorithm-based robust wavelet neural networks for function approximation with outliers

Shyi-Shiun Kuo Chia-Nan Ko

Year: 2014 Journal: Artificial Life and Robotics Vol: 19 (2)Pages: 186-192 Publisher: Springer Science+Business Media

DOI: 10.1007/s10015-014-0150-4

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Keywords:

Computer science Initialization Outlier Wavelet Artificial neural network Algorithm Artificial intelligence Simulated annealing Pattern recognition (psychology) Support vector machine Convergence (economics)

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Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Algorithms and Applications

Physical Sciences → Engineering → Control and Systems Engineering

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Adaptive annealing learning algorithm-based robust wavelet neural networks for function approximation with outliers

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