ESTIMATION OF PEAK GROUND ACCELERATION, VELOCITY AND DISPLACEMENT USING ARTIFICIAL NEURAL NETWORK
Dynamic analyses require many seismic data such as design acceleration and spectra of the site and earthquake records. This paper aims to predict peak ground acceleration, speed, and displacement using Artificial Neural Network (ANN). The proposed method of estimating PGA, PGV and PGD from earthquak...
Main Authors: | حسین Bakhshi, غلامرضا Ghodrati Amiri, محمد Khorasani, محمدرضا Fadavi, محمد علی Barkhordari |
---|---|
Format: | Article |
Language: | fas |
Published: |
Semnan University
2009-12-01
|
Series: | مجله مدل سازی در مهندسی |
Subjects: | |
Online Access: | https://modelling.semnan.ac.ir/article_1543_8bf68fcbfde4129624835f2c6b6157fe.pdf |
Similar Items
-
Prediction of Peak Ground Acceleration in Southwestern Taiwan as Revealed by Analysis of CHY Array Data
by: Jen-Kuang Chung
Published: (2006-01-01) -
Application of metaheuristic algorithms in prediction of earthquake peak ground acceleration
by: Surya Prakash Challagulla, et al.
Published: (2023-05-01) -
Performance of NGA Models in Predicting Ground Motion Parameters of The Strong Earthquake
by: Lindung Zalbuin Mase
Published: (2019-09-01) -
Development of PGA Attenuation Relationships for Iran
by: Gholamreza Ghodrati Amiri, et al.
Published: (2018-09-01) -
A Comparative Study of the Least Squares Method and the Genetic Algorithm in Deducing Peak Ground Acceleration Attenuation Relationships
by: Ching-Yun Kao, et al.
Published: (2010-01-01)