HYBRID ARTIFICIAL NEURAL NETWORKS BASED ON ACORPROP FOR GENERATING MULTIPLE SPECTRUMCOMPATIBLE ARTIFICIAL EARTHQUAKE RECORDS FOR SPECIFIED SITE GEOLOGY

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GHODRATI AMIRI G.; NAMIRANIAN P.

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Paper Information

Journal: INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING Year:2013 | Volume:3 | Issue:1 Page(s): 179-207

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Title

HYBRID ARTIFICIAL NEURAL NETWORKS BASED ON ACORPROP FOR GENERATING MULTIPLE SPECTRUMCOMPATIBLE ARTIFICIAL EARTHQUAKE RECORDS FOR SPECIFIED SITE GEOLOGY

Author(s)

GHODRATI AMIRI G. | NAMIRANIAN P. | Issue Writer Certificate

Keywords

ARTIFICIAL EARTHQUAKE ACCELEROGRAMS

ANT COLONY OPTIMIZATION ALGORITHM

WAVELET PACKET TRANSFORM

ARTIFICIAL NEURAL NETWORK

PRINCIPAL COMPONENT ANALYSIS

RESILIENT BACKPROPAGATION ALGORITHM

Abstract

The main objective of this paper is to use ant optimized neural networks to generate artificial earthquake records. In this regard, training accelerograms selected according to the site geology of recorder station and WAVELET PACKET TRANSFORM (WPT) used to decompose these records. Then ARTIFICIAL NEURAL NETWORKs (ANN) optimized with Ant Colony Optimization and RESILIENT BACKPROPAGATION ALGORITHM and learn to relate the dimension reduced response spectrum of records to their wavelet packet coefficients. Trained ANNs are capable to produce wavelet packet coefficients for a specified spectrum, so by using inverse WPT artificial accelerograms obtained. By using these tools, the learning time of ANNs reduced salient and generated accelerograms had more spectrum-compatibility and save their essence as earthquake accelerograms.

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APA: Copy

GHODRATI AMIRI, G., & NAMIRANIAN, P.. (2013). HYBRID ARTIFICIAL NEURAL NETWORKS BASED ON ACORPROP FOR GENERATING MULTIPLE SPECTRUMCOMPATIBLE ARTIFICIAL EARTHQUAKE RECORDS FOR SPECIFIED SITE GEOLOGY. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 3(1), 179-207. SID. https://sid.ir/paper/329410/en

Vancouver: Copy

GHODRATI AMIRI G., NAMIRANIAN P.. HYBRID ARTIFICIAL NEURAL NETWORKS BASED ON ACORPROP FOR GENERATING MULTIPLE SPECTRUMCOMPATIBLE ARTIFICIAL EARTHQUAKE RECORDS FOR SPECIFIED SITE GEOLOGY. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2013;3(1):179-207. Available from: https://sid.ir/paper/329410/en

IEEE: Copy

G. GHODRATI AMIRI, and P. NAMIRANIAN, “HYBRID ARTIFICIAL NEURAL NETWORKS BASED ON ACORPROP FOR GENERATING MULTIPLE SPECTRUMCOMPATIBLE ARTIFICIAL EARTHQUAKE RECORDS FOR SPECIFIED SITE GEOLOGY,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 3, no. 1, pp. 179–207, 2013, [Online]. Available: https://sid.ir/paper/329410/en

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