17 research outputs found
Discriminating signal from background using neural networks. Application to top-quark search at the Fermilab Tevatron
Get PDFThe application of Neural Networks in High Energy Physics to the separation
of signal from background events is studied. A variety of problems usually
encountered in this sort of analyses, from variable selection to systematic
errors, are presented. The top--quark search is used as an example to
illustrate the problems and proposed solutions.Comment: 11 pages, 3 figures, psfi
Discriminating signal from background using neural networks: Application to top-quark search at the Fermilab Tevatron
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Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size
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