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Neural Networks for Applied Sciences and Engineering
Abstract
In response to the exponentially increasing need to analyze vast amounts of data, Neural Networks for Applied Sciences and Engineering: From Fundamentals to Complex Pattern Recognition provides scientists with a simple but systematic introduction to neural networks. Beginning with an introductory discussion on the role of neural networks in
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Cited by
A review of artificial neural network models for ambient air pollution prediction
Cabaneros, S. M., Calautit, J. K., & Hughes, B. R. (2019) · Environmental Modelling & Software · doi:10.1016/j.envsoft.2019.06.014 · Cited by 459
Reservoir Computing Using Diffusive Memristors
Midya, R., Wang, Z., Asapu, S., Zhang, X., Rao, M., Song, W., Zhuo, Y., Upadhyay, N., Xia, Q., & Yang, J. J. (2019) · Advanced Intelligent Systems · doi:10.1002/aisy.201900084 · Cited by 279
Wavelet neural networks: A practical guide
Alexandridis, A. K., & Zapranis, A. D. (2013) · Neural Networks · doi:10.1016/j.neunet.2013.01.008 · Cited by 277
Cheok, C. Y., Chin, N. L., Yusof, Y. A., Talib, R. A., & Law, C. L. (2012) · Industrial Crops and Products · doi:10.1016/j.indcrop.2012.03.019 · Cited by 114
Basak, J. K., Okyere, F. G., Arulmozhi, E., Park, J., Khan, F., & Kim, H. T. (2020) · Journal of Applied Animal Research · doi:10.1080/09712119.2020.1761818 · Cited by 39
Metadata
- Authors
- Samarasinghe, S.
- Venue
- Auerbach Publications eBooks
- Publisher
- Auerbach Publications
- Published
- 2016-04-19
- OpenAlex
- W1532221965
- Cited by
- 307
- References
- 0
- FWCI
- 11.22
- Type
- book
- Language
- en
- Open access
- closed
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- Samarasinghe, S. (2016). Neural Networks for Applied Sciences and Engineering. Auerbach Publications eBooks. https://doi.org/10.1201/9780849333750
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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.