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

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Cites:

1

Information Journal Paper

Title

PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SEMI-RIGID CONNECTIONS USING BP NEURAL NETWORKS

Pages

  131-142

Abstract

 Non-linear FINITE ELEMENT analysis is performed for a total number of 40 SEMI-RIGID CONNECTIONs, and M-ф diagrams are obtained. Each diagram is represented by a multi-linear relationship through 25 points.A NEURAL NETWORKs is trained for the prediction of M-ф diagrams for the considered type of connections. The results obtained by the trained back propagation NEURAL NETWORK are found to be quite satisfactory compared to those of the FINITE ELEMENT analyses.

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    APA: Copy

    KAVEH, A., ELMIEH, R., & SERVATI, H.. (2001). PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SEMI-RIGID CONNECTIONS USING BP NEURAL NETWORKS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), 2(2), 131-142. SID. https://sid.ir/paper/298583/en

    Vancouver: Copy

    KAVEH A., ELMIEH R., SERVATI H.. PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SEMI-RIGID CONNECTIONS USING BP NEURAL NETWORKS. ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING)[Internet]. 2001;2(2):131-142. Available from: https://sid.ir/paper/298583/en

    IEEE: Copy

    A. KAVEH, R. ELMIEH, and H. SERVATI, “PREDICTION OF MOMENT-ROTATION CHARACTERISTIC FOR SEMI-RIGID CONNECTIONS USING BP NEURAL NETWORKS,” ASIAN JOURNAL OF CIVIL ENGINEERING (BUILDING AND HOUSING), vol. 2, no. 2, pp. 131–142, 2001, [Online]. Available: https://sid.ir/paper/298583/en

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