Application of genetic algorithm-based support vector machines for prediction of soil liquefaction-Reference-Cited by-同舟云学术

Application of genetic algorithm-based support vector machines for prediction of soil liquefaction

Author:

Xue Xinhua,Xiao Ming

Publisher

Springer Science and Business Media LLC

Subject

Earth-Surface Processes,Geology,Pollution,Soil Science,Water Science and Technology,Environmental Chemistry,Global and Planetary Change

Link

Reference42 articles.

2. Ardakani A, Kohestni VR (2015) Evaluation of liquefaction potential based on CPT results using C4.5 decision tree. J AI Data Mining 3(1):85–92

4. Chern SG, Lee CY (2009) CPT-based simplified liquefaction assessment by using fuzzy-neural network. J Mar Sci Technol 17(4):326–331

5. Cortes C, Vapnik V (1995) Support-vector network. Mach Learn 20:273–297

Cited by 30 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. Enhancing soil liquefaction risk assessment with metaheuristics and hybrid learning techniques;Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards;2024-07-29