Support vector machineGene expression programmingRectangular tunnel boring machine (TBM) is applied for the tunnels' excavation including a cross section of circular and rectangular shape within the various rocks and soil strata. Excessive structural forces, which is produced within tunnel linings, might...
operating cell voltage. Wang et al.[150]integrated a 3DCFDfuel cell model with an AI-based data-driven surrogate model and an optimization framework to realize the multivariable global optimization of CL composition forimproving the maximum power density.Support vector machine(SVM) learning model ...
Furthermore, the current study investigates the effectiveness of machine learning (ML) techniques in predicting the load-carrying capacity of elliptical CFST short columns. These techniques include Support Vector Regressor (SVR), Random Forest Regressor (RFR), Gradient Boosting Regressor (GBR), XGBoost...
Shallow landslides of expensive soil slopes occur from time to time, and most engineering geological problems are directly or indirectly caused by soil structure cracks. The existence of tensile cracks can significantly affect the hydro-mechanical properties of soils. In this paper, the mechanism of ...
Accelerated particle swarm optimization and support vector machine for business optimization and applications International Conference on Networked Digital Technologies, Springer, Berlin (2011), pp. 53-66, 10.1007/978-3-642-22185-9_6 View in ScopusGoogle Scholar Zeinijahromi and Bedrikovetsky, 2013 A...
(4) In addition to SIMO and MIMO problems, this method is also applied to establish the surrogate model of dam numerical simulation with multi-outputs. The adaptive sampling based on multiple measuring points can be effectively applied to the parameter back analysis of dam structureto improve the...
Then we introduce a novel method for support vector machine (SVM) classification, called convex-concave hull. We use the Jarvis march method to decide the concave (nonconvex) hull for the inseparable points. Finally the vertices of the convex-concave hull are applied for SVM training.doi:...
Generally, we can estimate whether large prediction errors will occur from known observed data based on some classifiers such as a support vector machine (SVM) [8]. This is related to the idea of outlier detection that has recently been studied [9,10]. By using this method, it becomes fea...
It operates depending on availability of resources (e.g., electricity) and humans and is ever stoppable. 3.4.2.9 How CMA solves RMA problems easily: example If there is a break (consisting of more than one point or, equivalently, infinity of points) or a jump discontinuity (as per RMA),...
Currently, various machine learning (ML) techniques have been developed to solve geotechnical engineering problems. However, the lack of representative field samples limits the application of ML models. A shield jamming risk prediction method based on numerical samples and random forest (RF) classifier...