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Use of artificial neural networks in the noniterative calculation of the friction coefficients in closed pipe and open channel flow

, : Use of artificial neural networks in the noniterative calculation of the friction coefficients in closed pipe and open channel flow. ASAE/CSAE SCGR Annual International Meeting, Toronto, Ontario, Canada, 18-21 July, 1999: 11 pp.

Artificial neural networks were developed for the non-iterative solution of friction parameters in closed pipe and open channel flow. Solutions from these neural networks were compared to existing iterative solutions of the Colebrook and Powell equations in closed pipe and open channel flow, respectively. The results show that the developed neural networks are capable of predicting friction coefficients in close agreement with those obtained using iterative solution techniques.


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