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Cited by 307

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Neural Networks for Applied Sciences and Engineering

Samarasinghe, Sandhya·2016·Auerbach Publications eBooks

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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Metadata

Authors
Samarasinghe, S.
Venue
Auerbach Publications eBooks
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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CoChat. (2026). Citation check: Neural Networks for Applied Sciences and Engineering. https://app.cochat.ai/papers/10.1201/9780849333750
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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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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.