Who Cited It

Gauss-Newton approximation to Bayesian learning

2002 · Proceedings of International Conference on Neural Networks (ICNN'97) · 1,405 citations · 1 from inside this corpus

F. Dan Foresee low, Martin Hagan

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.

Gauss-Newton approximation to Bayesian learning (2002)Gauss-Newton approximation to…Training feedforward networks with the Marquardt algorithm (1994)Training feedforward networks…Neural network design (1995)Neural network designNon-linear time series. A dynamical system approach (1990)Non-linear time series. A dyn…Improving the learning speed of 2-layer neural networks by choosing initial values of the… (1990)Improving the learning speed …Neural Network Toolbox™ User's Guide (2015)Neural Network Toolbox™ User'…
5 of 5 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What this paper cites, inside the corpus

PaperYearCited
Training feedforward networks with the Marquardt algorithm19947,739
Neural network design19955,170
Non-linear time series. A dynamical system approach19901,902
Improving the learning speed of 2-layer neural networks by choosing initial values of the…19901,386

What cites it, inside the corpus

PaperYearCited
Neural Network Toolbox™ User's Guide20151,644

Links

DOI · OpenAlex record

Topics

Neural Networks and ApplicationsComputer Science
Fault Detection and Control SystemsEngineering
Blind Source Separation TechniquesComputer Science

Is this record sound?

partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • supports2 author record(s) attached.
  • supports11 reference(s) recorded.
  • weakensThe DOI names 1997 but the record dates this to 2,002. One of the two is about a different paper.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…