Improving neural network training solutions using regularisation

DOI10.1016/S0925-2312(00)00314-3zbMath0963.68654MaRDI QIDQ5936735

Seán Mc Loone, George W. Irwin

Publication date: 5 July 2001

Published in: Neurocomputing (Search for Journal in Brave)

zbMATH Keywords

neural networkshybrid optimisationregularisationtraining

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)

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The convergence analysis of spikeprop algorithm with smoothing \(L_{1/2}\) regularization ⋮ Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing \(L_{1/2}\) regularization for the first-order Takagi-Sugeno system ⋮ Using radial basis function networks for function approximation and classification

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