The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study
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Citations
Cites
Hochreiter, S., & Schmidhuber, J. (1997) · Neural Computation · doi:10.1162/neco.1997.9.8.1735 · Cited by 102,318
Approximation by superpositions of a sigmoidal function
Cybenko, G. (1989) · Mathematics of Control, Signals, and Systems · doi:10.1007/bf02551274 · Cited by 13,883
Recurrent neural networks and robust time series prediction
Connor, J. T., Martin, R. D., & Atlas, L. E. (1994) · IEEE Transactions on Neural Networks · doi:10.1109/72.279188 · Cited by 1,316
Cited by
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,377
Self-citationTaormina, R., Chau, K.-W., & Sethi, R. (2012) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2012.02.009 · Cited by 396
Teegavarapu, R. S. V., & Chandramouli, V. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2005.02.015 · Cited by 370
Tongal, H., & Booij, M. J. (2018) · Journal of Hydrology · doi:10.1016/j.jhydrol.2018.07.004 · Cited by 267
Metadata
- Authors
- MAIER, H., & DANDY, G.
- Venue
- Environmental Modelling and Software
- Publisher
- Elsevier BV
- Published
- 1998-04
- Volume
- 13
- Issue
- 2
- Pages
- 193-209
- ISSN
- 1364-8152 (ISSN-L)
- OpenAlex
- W2057788866
- Cited by
- 229
- References
- 3
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- CoChat. (2026). Citation check: The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study. https://app.cochat.ai/papers/10.1016/s1364-8152(98)00020-6
- The paper
- MAIER, H., & DANDY, G. (1998). The effect of internal parameters and geometry on the performance of back-propagation neural networks: an empirical study. Environmental Modelling and Software. https://doi.org/10.1016/s1364-8152(98)00020-6
Data sources
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.