Prediction of probability of liquefaction using hybrid ANN with optimization techniques-Reference-Cited by-同舟云学术

Prediction of probability of liquefaction using hybrid ANN with optimization techniques

Published:2022-10 Issue:20 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Kumar Divesh Ranjan,Samui Pijush,Burman Avijit

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-10855-3.pdf

Reference109 articles.

1. Abbaszadeh Shahri A (2016) Assessment and prediction of liquefaction potential using different artificial neural network models: a case study. Geotech Geol Eng 34:807–815. https://doi.org/10.1007/s10706-016-0004-z

2. Agrawal G, Chameau J Lou, Bourdeau PL (1997) Assessing the liquefaction susceptibility at a site based on information from penetration testing. In: Artificial Neural Networks for Civil Engineers: Fundamentals and Applications. pp 185–214

3. Armaghani DJ, Momeni E, Abad SVANK, Khandelwal M (2015) Feasibility of ANFIS model for prediction of ground vibrations resulting from quarry blasting. Environ Earth Sci 74:2845–2860. https://doi.org/10.1007/s12665-015-4305-y

4. Asce M (1985) SLOPE RELIABILITY AND RESPONSE suitable graduating function. This leads to the idea that response surface methods can be used to create an approximating function for a long- running system model, e. g., expensive finite element code. The Idea is That I:32–53

5. Asteris PG, Nikoo M (2019) Artificial bee colony-based neural network for the prediction of the fundamental period of infilled frame structures. Neural Comput Appl 31:4837–4847. https://doi.org/10.1007/s00521-018-03965-1

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Soft computing-based reliability analysis of simply supported beam: a comparative study of hybrid ANN models;Asian Journal of Civil Engineering;2024-01-23

2. Parametric investigation of rectangular CFRP-confined concrete columns reinforced by inner elliptical steel tubes using finite element and machine learning models;Heliyon;2024-01

3. A Novel XGBoost and RF-Based Metaheuristic Models for Concrete Compression Strength;Lecture Notes in Civil Engineering;2023-11-21

4. Liquefaction susceptibility using machine learning based on SPT data;Intelligent Systems with Applications;2023-11

5. Buckling response of CNT based hybrid FG plates using finite element method and machine learning method;Composite Structures;2023-09