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Diffusion learning algorithms for feedforward neural networks

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Publication:465959
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DOI10.1007/s10559-013-9516-1zbMath1298.68228OpenAlexW2004246291MaRDI QIDQ465959

B. A. Skorohod

Publication date: 24 October 2014

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-013-9516-1


zbMATH Keywords

learning algorithmextended Kalman filterfeedforward neural network


Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)


Related Items (1)

Learning algorithms for neural networks and neuro-fuzzy systems with separable structures



Cites Work

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  • Variable projections neural network training
  • Estimation, filtering, and smoothing in state space models with incompletely specified initial conditions
  • Computational intelligence in time series forecasting. Theory and engineering applications
  • Separable nonlinear least squares: the variable projection method and its applications
  • Incremental Least Squares Methods and the Extended Kalman Filter
  • Approximation by superpositions of a sigmoidal function


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