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Mendeley readers
Chapter title |
Approximating the Neyman-Pearson Detector for Swerling I Targets with Low Complexity Neural Networks
|
---|---|
Chapter number | 145 |
Book title |
Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005
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Published by |
Springer, Berlin, Heidelberg, September 2005
|
DOI | 10.1007/11550907_145 |
Book ISBNs |
978-3-54-028755-1, 978-3-54-028756-8
|
Authors |
D. de la Mata-Moya, P. Jarabo-Amores, M. Rosa-Zurera, F. López-Ferreras, R. Vicen-Bueno, de la Mata-Moya, D., Jarabo-Amores, P., Rosa-Zurera, M., López-Ferreras, F., Vicen-Bueno, R. |
Mendeley readers
The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 50% |
Student > Doctoral Student | 1 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 50% |
Computer Science | 1 | 50% |