Transitional intermittency detection by neural network
- Cite this article as:
- Chattopadhyay, M., Dey, J. & Mani, V. Experiments in Fluids (1999) 26: 549. doi:10.1007/s003480050322
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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.