Multistart Nelder–Mead Neural Network Algorithm for Earthquake Source Parameter Inversion of 2017 Bodrum–Kos Earthquake-Reference-Cited by-同舟云学术

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Multistart Nelder–Mead Neural Network Algorithm for Earthquake Source Parameter Inversion of 2017 Bodrum–Kos Earthquake

Published:2021-08 Issue:3 Volume:147 Page:04021014
ISSN:0733-9453
Container-title:Journal of Surveying Engineering
language:en
Short-container-title:J. Surv. Eng.

Author:

Wang Leyang¹^ORCID,Xu Ranran²

Affiliation:

1. Professor, Faculty of Geomatics, East China Univ. of Technology, Nanchang 330013, People’s Republic of China (corresponding author). ORCID: .

2. Master’s Candidate, Faculty of Geomatics, East China Univ. of Technology, Nanchang 330013, People’s Republic of China.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29SU.1943-5428.0000368

Reference62 articles.

1. The 1989 Loma Prieta earthquake imaged from inversion of geodetic data

2. Designing artificial neural networks using particle swarm optimization algorithms;Beatriz A. G.;Comput. Intell. Neurosci.,2015

3. Simulated annealing inversion of multimode Rayleigh wave dispersion curves for geological structure

4. Deformation during the 12 November 1999 Duzce, Turkey, Earthquake, from GPS and InSAR Data

5. Artificial neural networks for parameter estimation in geophysics

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2. A simple weighting method for inverting earthquake source parameters using geodetic multisource data under Bayesian algorithm;Geophysical Journal International;2024-03-07

3. Combined Prediction Model for High-Speed Railway Bridge Pier Settlement Based on Robust Weighted Total Least-Squares Autoregression and Adaptive Dynamic Cubic Exponential Smoothing;Journal of Surveying Engineering;2023-05

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