Who Cited It

Training feedforward networks with the Marquardt algorithm

1994 · IEEE Transactions on Neural Networks · 7,739 citations · 5 from inside this corpus

Martin Hagan, Mohammad Bagher Menhaj

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Training feedforward networks with the Marquardt algorithm (1994)Training feedforward networks…Learning representations by back-propagating errors (1986)Learning representations by b…Increased rates of convergence through learning rate adaptation (1988)Increased rates of convergenc…Improving the learning speed of 2-layer neural networks by choosing initial values of the… (1990)Improving the learning speed …State-of-the-art in artificial neural network applications: A survey (2018)State-of-the-art in artificia…Trends in extreme learning machines: A review (2014)Trends in extreme learning ma…Neural networks for classification: a survey (2000)Neural networks for classific…Neural Network Toolbox™ User's Guide (2015)Neural Network Toolbox™ User'…Gauss-Newton approximation to Bayesian learning (2002)Gauss-Newton approximation to…
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Citation edge evidence

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What this paper cites, inside the corpus

PaperYearCited
Learning representations by back-propagating errors198631,688
Increased rates of convergence through learning rate adaptation19881,810
Improving the learning speed of 2-layer neural networks by choosing initial values of the…19901,386

What cites it, inside the corpus

PaperYearCited
State-of-the-art in artificial neural network applications: A survey20183,071
Trends in extreme learning machines: A review20141,752
Neural networks for classification: a survey20001,672
Neural Network Toolbox™ User's Guide20151,644
Gauss-Newton approximation to Bayesian learning20021,405

Links

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Topics

Neural Networks and ApplicationsComputer Science
Machine Learning and ELMComputer Science
Blind Source Separation TechniquesComputer Science

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports2 author record(s) attached.
  • supports19 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…