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Training multilayer neural networks using fast global learning algorithm -- least-squares and penalized optimization methods

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Publication:1305905
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DOI10.1016/S0925-2312(99)00055-7zbMath0941.68110MaRDI QIDQ1305905

Siu-yeung Cho, Tommy W. S. Chow

Publication date: 21 November 1999

Published in: Neurocomputing (Search for Journal in Brave)


zbMATH Keywords

learning algorithms


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Parallel algorithms in computer science (68W10)


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Global optimization issues in deep network regression: an overview ⋮ FAST NON-NEGATIVE LEAST-SQUARES LEARNING IN THE RANDOM NEURAL NETWORK ⋮ Extended neuro-fuzzy models of multilayer perceptrons. ⋮ Deadzone compensation based on constrained RBF neural network ⋮ Least third-order cumulant method with adaptive regularization parameter selection for neural networks ⋮ A New Color 3D SFS Methodology Using Neural-Based Color Reflectance Models and Iterative Recursive Method ⋮ Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model ⋮ Stability analysis of a three-term backpropagation algorithm


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  • GAToolBox


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