The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic
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Citations
Cites
Neural networks and physical systems with emergent collective computational abilities.
Hopfield, J. J. (1982) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.79.8.2554 · Cited by 19,270
A logical calculus of the ideas immanent in nervous activity
McCulloch, W. S., & Pitts, W. (1943) · The Bulletin of Mathematical Biophysics · doi:10.1007/bf02478259 · Cited by 18,566
Cited by
Machine Learning for Structural Engineering: A State-of-the-Art Review
Thai, H.-T. (2022) · Structures · doi:10.1016/j.istruc.2022.02.003 · Cited by 748
Young, B. A., Hall, A., Pilon, L., Gupta, P., & Sant, G. (2019) · Cement and Concrete Research · doi:10.1016/j.cemconres.2018.09.006 · Cited by 414
Chou, J.-S., Chiu, C.-K., Farfoura, M., & Al-Taharwa, I. (2011) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)cp.1943-5487.0000088 · Cited by 382
Metaheuristic Algorithms in Modeling and Optimization
Gandomi, A. H., Yang, X.-S., Talatahari, S., & Alavi, A. H. (2013) · Metaheuristic Applications in Structures and Infrastructures · doi:10.1016/b978-0-12-398364-0.00001-2 · Cited by 268
Liu, Q.-F., Iqbal, M. F., Yang, J., Lu, X.-Y., Zhang, P., & Rauf, M. (2021) · Construction and Building Materials · doi:10.1016/j.conbuildmat.2020.121082 · Cited by 259
Metadata
- Authors
- Topçu, İ. B., & Sarıdemir, M.
- Venue
- Computational Materials Science
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 41
- Issue
- 3
- Pages
- 305-311
- ISSN
- 0927-0256 (ISSN-L)
- OpenAlex
- W1967366211
- Cited by
- 531
- References
- 2
- FWCI
- 41.59
- 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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How to cite
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- CoChat. (2026). Citation check: Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic. https://app.cochat.ai/papers/10.1016/j.commatsci.2007.04.009
- The paper
- Topçu, İ. B., & Sarıdemir, M. (2008). Prediction of compressive strength of concrete containing fly ash using artificial neural networks and fuzzy logic. Computational Materials Science. https://doi.org/10.1016/j.commatsci.2007.04.009
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.
