Schematic diagram of stacking method.

Schematic diagram of stacking method.

<div><p>This study aims to predict the significant duration (<i>D</i><sub>5-75</sub>, <i>D</i><sub>5-95</sub>) of seismic motion by employing machine learning algorithms. Based on three parameters (moment magnitude, fault distance, and aver...

وصف كامل

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Xinle Li (150923) (author)
مؤلفون آخرون:	Pei Gao (706102) (author)
منشور في:	2024
الموضوعات:	Biophysics Developmental Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> 5 weighted averaging ). bp neural network fault top depth epicenter mechanism parameters significant duration (< fusion model demonstrates div >< p >< sub xmlns significant duration prediction significant duration fusion model fault distance three parameters prediction results four parameters seismic motion residual values random forest optimal combination new method moment magnitude generalization ability evaluation indicators
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