دورية أكاديمية

Support Vector Machine-Based On-Site Prediction for China Seismic Instrumental Intensity from P-Wave Features

التفاصيل البيبلوغرافية
العنوان: Support Vector Machine-Based On-Site Prediction for China Seismic Instrumental Intensity from P-Wave Features
المؤلفون: Hou, BaoruiAff1, Aff2, Li, ShanyouAff1, Aff2, Song, JindongAff1, Aff2, IDs00024023033356_cor3
المصدر: Pure and Applied Geophysics: pageoph. :1-21
قاعدة البيانات: Springer Nature Journals
الوصف
تدمد:00334553
14209136
DOI:10.1007/s00024-023-03335-6