مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

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Cites:

1

Information Journal Paper

Title

SELF-ORGANIZING BACK PROPAGATION NETWORKS FOR PREDICTING THE MOMENT-ROTATION BEHAVIOR OF BOLTED CONNECTIONS

Pages

  629-645

Abstract

 Evaluating the moment-rotation behavior of BOLTED CONNECTIONs by FINITE ELEMENT method is very intensive task in terms of computational cost. This study proposes an efficient neural system to predict the moment-rotation behavior of the connections. The neural system is called self-organizing BACK PROPAGATION (SOBP) networks. The SOBP includes two processing units: classification and approximation. In the classification unit, all the training data are divided into some classes by a SELF-ORGANIZING MAP network. In the approximation unit, a set of BACK PROPAGATION networks are employed to achieve the approximation task. The numerical results demonstrate the computational advantages of the SOBP.

Cites

References

Cite

APA: Copy

SALAJEGHEH, E., GHOLIZADEH, S., & PIRMOZ, A.. (2008). SELF-ORGANIZING BACK PROPAGATION NETWORKS FOR PREDICTING THE MOMENT-ROTATION BEHAVIOR OF BOLTED CONNECTIONS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 9(6), 629-645. SID. https://sid.ir/paper/298799/en

Vancouver: Copy

SALAJEGHEH E., GHOLIZADEH S., PIRMOZ A.. SELF-ORGANIZING BACK PROPAGATION NETWORKS FOR PREDICTING THE MOMENT-ROTATION BEHAVIOR OF BOLTED CONNECTIONS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2008;9(6):629-645. Available from: https://sid.ir/paper/298799/en

IEEE: Copy

E. SALAJEGHEH, S. GHOLIZADEH, and A. PIRMOZ, “SELF-ORGANIZING BACK PROPAGATION NETWORKS FOR PREDICTING THE MOMENT-ROTATION BEHAVIOR OF BOLTED CONNECTIONS,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 9, no. 6, pp. 629–645, 2008, [Online]. Available: https://sid.ir/paper/298799/en

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