Neural networks for tracking

Autor:	Th. Lindblad, Clark S. Lindsey, Age J. Eide, T Lindén
Rok vydání:	1996
Předmět:	Physics Nuclear and High Energy Physics Probabilistic neural network Data processing Artificial neural network Time delay neural network Real-time computing Tracking (particle physics) Instrumentation
Zdroj:	Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 368:855-858
ISSN:	0168-9002
Popis:	The approach of using a conventional neural network as well as one utilizing the O-algorithm are compared in an application of particle tracking. In the latter case we control the confidence level of the results, which is a major advantage when the network is implemented in hardware.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ee5c0f4eee547b1c0944d66e4ff6d9e7 https://doi.org/10.1016/0168-9002(95)00707-5 Zobrazit plný text záznamu Full Text from ScienceDirect