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1.	Original version of the author's contribution as presented on CD, section: [RS26] Stochastic dynamics .: PDF A PREDICTION OF GROUND-MOTION ACCELERATION BY ADAPTIVE NEURO-FUZZY INFERENCE SYSTEMS: AN EXAMPLE BASED ON THE NGA-WEST 2 DATA Ameur, Mourad ; Zendagui, Djawad Adaptive Neuro Fuzzy Inference System (ANFIS) is used here to obtain the robust Ground-Motion Prediction Model (GMPM). Avoiding a priori functional form., ANFIS provides [...] Detailed record - Similar records
2.	Original version of the author's contribution as presented on USB, paper 3821.: PDF New Insight in the Derivation of Amplification Factor By Taking Into Account Soil Parameters Derras, Boumediène ; Zendagui, Djawad It is currently admitted that the amplification factor (AF) is one of the best tools to describe site effects. AF depends on soil parameters that are derived from the geo [...] Detailed record - Similar records
3.	Original version of the author's contribution as presented on CD, section: MS 05 Analysis Methods for the Seismic Design and Assessment of Bridges.: PDF Seismic Bridge Response to Differential Ground Motion and Comparison with Algerian Seismic Design Rule Benmansour, N. ; Zendagui, D. Seismic response of extended structures, such as bridges, must take into account spatial variability of earthquake ground motion (SVGM). Models that describe SVGM have be [...] Detailed record - Similar records

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2	Zendagui, Djawad

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