Flow Regime Prediction Using Artificial Neural Networks for Air-Water Flow Through 1–5 mm Tubes in Horizontal Plane
作者： Nirjhar Bar , Manindra Nath Biswas , Sudip Kumar Das
DOI: 10.1007/978-81-322-2250-7_82
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摘要: Artificial Neural Network (ANN) based techniques for the classifications of flow regimes in air-water through 1–5 mm tubes are presented. 218 data points on experimental investigation 3 and 4 2114 from various results published literature two-phase small diameter have been used. Five different well known artificial neural network models used to predict regime. The ANN model Radial Basis Function Principal Component Analysis gives better predictability over other networks
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