HVSR-based Site Classification Approach Using General Regression Neural Network (GRNN): Case Study for China Strong Motion Stations
| Author(s): |
Kun Ji
(Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China)
Yefei Ren (Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China) Ruizhi Wen (Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China) Chuanbin Zhu (GFZ German Research Centre for Geosciences, Helmholtz Centre Potsdam, Potsdam, Germany) Ye Liu (Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China) Baofeng Zhou (Key Laboratory of Earthquake Engineering and Engineering Vibration Institute of Engineering Mechanics, China Earthquake Administration, Harbin, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Journal of Earthquake Engineering, January 2022, n. 16, v. 26 |
| Page(s): | 1-23 |
| DOI: | 10.1080/13632469.2021.1991520 |
- About this
data sheet - Reference-ID
10646579 - Published on:
10/01/2022 - Last updated on:
10/12/2022
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