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STATISTICAL AND ARTIFICIAL INTELLIGENCE BASED ANALYSIS OF VIBRATION CONTROL OF NEAR FAULT EARTHQUAKE
STATISTICAL AND ARTIFICIAL INTELLIGENCE BASED ANALYSIS OF VIBRATION CONTROL OF NEAR FAULT EARTHQUAKE
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机译:基于统计和人工智能的近断层地震振动控制分析
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摘要
Directivity effect occurs when the harmonic mean of the velocity of the fault rupture propagation :bwards a site varies from that of the shear velocity of the rock near the source by a constant actor. The geometric mean of the combined fling effects bears a relation among the individual geometric mean-of strike-slip and dip-slip faults; theindividuarandtbtaThumber of observed :ime stamps of both the slip faults. Point estimation plays a pivotal role towards realizing the detrimental effect of near fault earthquake. Analysis of inelastic deformation due to earthquake :an be carried out in the light of Fuzzy estimation. Reduction of dynamic response due to earthquake can be estimated on the basis of dynamic neural network model. If reduction of dynamic response is based upon single incidence of inelastic deformation and hypothesis of airness is rejected , then for unit negative bias, the estimate of weight of the single parameter y.either historical-supervised or predictive means-is represented-as-a complex-variable.
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