The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Backpropagation neural nets with one and two hidden layers
Abstract
The differences in classification and training performance of three- and four-layer (one- and two-hidden-layer) fully interconnected feedforward neural nets are investigated. To obtain results which do not merely reflect performance on a particular data set, the networks are trained on various distributions, which are themselves drawn from a distribution of distributions. Experimental results indicate that four-layered networks are more prone to fall into bad local minima, but that three- and four-layered networks perform similarly in all other respects.
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Cites
Learning representations by back-propagating errors
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What Size Net Gives Valid Generalization?
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Approximation theory of the MLP model in neural networks
Pinkus, A. (1999) · Acta Numerica · doi:10.1017/s0962492900002919 · Cited by 1,529
Review of surrogate modeling in water resources
Razavi, S., Tolson, B. A., & Burn, D. H. (2012) · Water Resources Research · doi:10.1029/2011wr011527 · Cited by 983
Capabilities of a four-layered feedforward neural network: four layers versus three
Tamura, S., & Tateishi, M. (1997) · IEEE Transactions on Neural Networks · doi:10.1109/72.557662 · Cited by 422
Forecasting daily streamflow using hybrid ANN models
Wang, W., Gelder, P. H. A. J. M. V., Vrijling, J. K., & Ma, J. (2006) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.09.032 · Cited by 279
Spectral–Spatial Classification of Hyperspectral Image Based on Deep Auto-Encoder
Ma, X., Wang, H., & Geng, J. (2016) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2016.2517204 · Cited by 258
Metadata
- Authors
- de Villiers, J., & Barnard, E.
- Venue
- IEEE Transactions on Neural Networks
- Published
- 1993
- Volume
- 4
- Issue
- 1
- Pages
- 136-141
- ISSN
- 1045-9227 (ISSN-L)
- OpenAlex
- W2113312949
- Cited by
- 344
- References
- 15
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
