INTELLIGENT PREDICTION OF AFFLUX DUE TO BRIDGE PIER USING ARTIFICIAL NEURAL NETWORKS BASED ON RADIAL BASIS FUNCTIONS

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MONTAZER GH.A.; GHODSIAN MASOUD; NASIRI F.; JAVAN M.; EGHBALZADEH A.

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Journal: MODARES TECHNICAL AND ENGINEERING Year:2004 | Volume:- | Issue:14 Page(s): 49-62

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Title

INTELLIGENT PREDICTION OF AFFLUX DUE TO BRIDGE PIER USING ARTIFICIAL NEURAL NETWORKS BASED ON RADIAL BASIS FUNCTIONS

Author(s)

Keywords

AFFLUXQ4

LENGTH PIERQ2

ARTIFICIAL NEURAL NETWORKSQ2

RADIAL BASIS FUNCTION NETWORKQ2

Abstract

Depth of water at the upstream of pier will increase when a bridge is constructed. The difference between water depth before and after the bridge construction is usually termed as AFFLUX. The purpose of this paper is to apply and evaluate the abilities of ARTIFICIAL NEURAL NETWORKS (ANN) to predict this phenomena. Mapping between input data (discharge, normal depth, length to width ratio of bridge pier, contraction ratio and angle of pier axis) and output data (AFFLUX) has been provided by a Radial Basis Function (RBF) ANN based on imperical data produced by experimental measurements. The results show that a RBF artificial neural network including two hidden layers can predict intelligently the AFFLUX and its performance is much better than other conventional approaches.

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APA: Copy

MONTAZER, GH.A., GHODSIAN, MASOUD, NASIRI, F., JAVAN, M., & EGHBALZADEH, A.. (2004). INTELLIGENT PREDICTION OF AFFLUX DUE TO BRIDGE PIER USING ARTIFICIAL NEURAL NETWORKS BASED ON RADIAL BASIS FUNCTIONS. MODARES TECHNICAL AND ENGINEERING, -(14), 49-62. SID. https://sid.ir/paper/25033/en

Vancouver: Copy

MONTAZER GH.A., GHODSIAN MASOUD, NASIRI F., JAVAN M., EGHBALZADEH A.. INTELLIGENT PREDICTION OF AFFLUX DUE TO BRIDGE PIER USING ARTIFICIAL NEURAL NETWORKS BASED ON RADIAL BASIS FUNCTIONS. MODARES TECHNICAL AND ENGINEERING[Internet]. 2004;-(14):49-62. Available from: https://sid.ir/paper/25033/en

IEEE: Copy

GH.A. MONTAZER, MASOUD GHODSIAN, F. NASIRI, M. JAVAN, and A. EGHBALZADEH, “INTELLIGENT PREDICTION OF AFFLUX DUE TO BRIDGE PIER USING ARTIFICIAL NEURAL NETWORKS BASED ON RADIAL BASIS FUNCTIONS,” MODARES TECHNICAL AND ENGINEERING, vol. -, no. 14, pp. 49–62, 2004, [Online]. Available: https://sid.ir/paper/25033/en

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