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Critical Depth of Trapezoidal Open Channel Using Explicit Formula and ANN Approach
https://orcid.org/http://orcid.org/0000-0002-1627-8598
Procedures for calculating critical depth in an open channel having a trapezoidal cross section are discussed in this paper. Among the current methods are chart look-up, trial-and-error, iterative, and approximate formula; however, practical application shows that each of these methods has some problems. This paper proposes an explicit solution to critical depth in a trapezoidal channel by introducing data from iteration solution and then applying multiple nonlinear regressions (MNLR) and artificial neural network (ANN) techniques to derive the best estimate. Results show that ANN formulation of the problem of solving for the critical depth is less successful than that by regression. The performance of MNLR in terms of R2 (0.998) and RE (0.025) is excellent and performance of ANN in terms of R2 (0.987) and RE (0.132) is good but its values are slightly perturbed around its numerically obtained values.
Critical Depth of Trapezoidal Open Channel Using Explicit Formula and ANN Approach
https://orcid.org/http://orcid.org/0000-0002-1627-8598
Procedures for calculating critical depth in an open channel having a trapezoidal cross section are discussed in this paper. Among the current methods are chart look-up, trial-and-error, iterative, and approximate formula; however, practical application shows that each of these methods has some problems. This paper proposes an explicit solution to critical depth in a trapezoidal channel by introducing data from iteration solution and then applying multiple nonlinear regressions (MNLR) and artificial neural network (ANN) techniques to derive the best estimate. Results show that ANN formulation of the problem of solving for the critical depth is less successful than that by regression. The performance of MNLR in terms of R2 (0.998) and RE (0.025) is excellent and performance of ANN in terms of R2 (0.987) and RE (0.132) is good but its values are slightly perturbed around its numerically obtained values.
Critical Depth of Trapezoidal Open Channel Using Explicit Formula and ANN Approach
https://orcid.org/http://orcid.org/0000-0002-1627-8598
Procedures for calculating critical depth in an open channel having a trapezoidal cross section are discussed in this paper. Among the current methods are chart look-up, trial-and-error, iterative, and approximate formula; however, practical application shows that each of these methods has some problems. This paper proposes an explicit solution to critical depth in a trapezoidal channel by introducing data from iteration solution and then applying multiple nonlinear regressions (MNLR) and artificial neural network (ANN) techniques to derive the best estimate. Results show that ANN formulation of the problem of solving for the critical depth is less successful than that by regression. The performance of MNLR in terms of R2 (0.998) and RE (0.025) is excellent and performance of ANN in terms of R2 (0.987) and RE (0.132) is good but its values are slightly perturbed around its numerically obtained values.
Critical Depth of Trapezoidal Open Channel Using Explicit Formula and ANN Approach
Iran J Sci Technol Trans Civ Eng
Salmasi, Farzin (author)
2020-09-01
7 pages
Article (Journal)
Electronic Resource
English
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