The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir
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Citations
Cites
4 retracted
Ahmadi, M. A., Shadizadeh, S. R., & Goudarzi, A. (2012) · Neural Computing and Applications · doi:10.1007/s00521-012-0955-9 · Cited by 10
Self-citationRetractedAhmadi, M. A., & Shadizadeh, S. R. (2012) · Neural Computing and Applications · doi:10.1007/s00521-012-0920-7 · Cited by 9
Self-citationRetractedAhmadi, M. A., & Shadizadeh, S. R. (2012) · Neural Computing and Applications · doi:10.1007/s00521-012-0921-6 · Cited by 8
Self-citationRetractedAhmadi, M. A. (2012) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2012.08.015 · Cited by 7
Self-citationRetractedZadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Zadeh, L. A. (1996) · Cited by 46,844
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
On Estimation of a Probability Density Function and Mode
Parzen, E. (1962) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177704472 · Cited by 10,585
Multilayer feedforward networks are universal approximators
HornikK., StinchcombeM., & WhiteH. (1989) · Neural Networks · doi:10.5555/70405.70408 · Cited by 9,081
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Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model
Song, X., Liu, Y., Xue, L., Wang, J., Zhang, J., Wang, J., Jiang, L., & Cheng, Z. (2020) · Journal of Petroleum Science and Engineering · doi:10.1016/j.petrol.2019.106682 · Cited by 533
COVID-19 Pandemic Prediction for Hungary; A Hybrid Machine Learning Approach
Pinter, G., Felde, I., Mosavi, A., Ghamisi, P., & Gloaguen, R. (2020) · Mathematics · doi:10.3390/math8060890 · Cited by 328
Taheri‐Garavand, A., Fatahi, S., Shahbazi, F., & de la Guardia, M. (2019) · Journal of Food Process Engineering · doi:10.1111/jfpe.13039 · Cited by 39
Metadata
- Authors
- Ahmadi, M. A., Ebadi, M., Shokrollahi, A., & Majidi, S. M. J.
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2013-02
- Volume
- 13
- Issue
- 2
- Pages
- 1085-1098
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W2045469795
- Cited by
- 290
- References
- 32
- FWCI
- 42.05
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir. https://app.cochat.ai/papers/10.1016/j.asoc.2012.10.009
- The paper
- Ahmadi, M. A., Ebadi, M., Shokrollahi, A., & Majidi, S. M. J. (2013). Evolving artificial neural network and imperialist competitive algorithm for prediction oil flow rate of the reservoir. Applied Soft Computing. https://doi.org/10.1016/j.asoc.2012.10.009
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.