Transitional intermittency detection by neural network
Data(s) |
01/05/1999
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Resumo |
A neural network has been used to predict the flow intermittency from velocity signals in the transition zone in a boundary layer. Unlike many of the available intermittency detection methods requiring a proper threshold choice in order to distinguish between the turbulent and non-turbulent parts of a signal, a trained neural network does not involve any threshold decision. The intermittency prediction based on the neural network has been found to be very satisfactory. |
Formato |
application/pdf |
Identificador |
http://eprints.iisc.ernet.in/38903/1/Transitional_intermittency_detection.pdf Chattopadhyay, M and Dey, J and Mani, V (1999) Transitional intermittency detection by neural network. In: Experiments in Fluids, 26 (6). pp. 549-552. |
Publicador |
Springer |
Relação |
http://www.springerlink.com/content/hec7nuk4g32y5axv/ http://eprints.iisc.ernet.in/38903/ |
Palavras-Chave | #Aerospace Engineering (Formerly, Aeronautical Engineering) |
Tipo |
Journal Article PeerReviewed |