The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Training feedforward networks with the Marquardt algorithm
Abstract
The Marquardt algorithm for nonlinear least squares is presented and is incorporated into the backpropagation algorithm for training feedforward neural networks. The algorithm is tested on several function approximation problems, and is compared with a conjugate gradient algorithm and a variable learning rate algorithm. It is found that the Marquardt algorithm is much more efficient than either of the other techniques when the network contains no more than a few hundred weights.
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Citations
Cites
Learning representations by back-propagating errors
Rumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986) · Nature · doi:10.1038/323533a0 · Cited by 31,892
An Algorithm for Least-Squares Estimation of Nonlinear Parameters
Marquardt, D. W. (1963) · Journal of the Society for Industrial and Applied Mathematics · doi:10.1137/0111030 · Cited by 30,728
Cited by
Introduction to multi-layer feed-forward neural networks
Svozil, D., Kvasnicka, V., & Pospichal, J. (1997) · Chemometrics and Intelligent Laboratory Systems · doi:10.1016/s0169-7439(97)00061-0 · Cited by 1,600
Ahmed, R., Sreeram, V., Mishra, Y., & Arif, M. D. (2020) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2020.109792 · Cited by 1,259
Non-intrusive reduced order modeling of nonlinear problems using neural networks
Hesthaven, J. S., & Ubbiali, S. (2018) · Journal of Computational Physics · doi:10.1016/j.jcp.2018.02.037 · Cited by 616
A comprehensive review for industrial applicability of artificial neural networks
Meireles, M. R. G., Almeida, P. E. M., & Simoes, M. G. (2003) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2003.812470 · Cited by 482
Artificial neural network modeling of water table depth fluctuations
Coulibaly, P., Anctil, F., Aravena, R., & Bobée, B. (2001) · Water Resources Research · doi:10.1029/2000wr900368 · Cited by 441
Metadata
- Authors
- Hagan, M. T., & Menhaj, M. B.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 1994
- Volume
- 5
- Issue
- 6
- Pages
- 989-993
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2155482699
- Cited by
- 7,701
- References
- 2
- FWCI
- 12.73
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hagan, M. T., & Menhaj, M. B. (1994). Training feedforward networks with the Marquardt algorithm. IEEE Transactions on Neural Networks. https://doi.org/10.1109/72.329697
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
