Journal ArticleDOI
Support vector regression based models to predict fracture characteristics of high strength and ultra high strength concrete beams
TLDR
In this paper, the applicability of support vector machine (SVM) based regression to predict fracture characteristics and failure load (P max ) of high strength and ultra high strength concrete beams was examined.About:
This article is published in Engineering Fracture Mechanics.The article was published on 2013-01-01. It has received 54 citations till now. The article focuses on the topics: Support vector machine.read more
Citations
More filters
Journal ArticleDOI
A modified firefly algorithm-artificial neural network expert system for predicting compressive and tensile strength of high-performance concrete
TL;DR: The result indicates that the MFA-ANN hybrid system can obtain a better prediction of the high-performance concrete properties and can provide an efficient and accurate tool to predict and design HPC.
Journal ArticleDOI
Support vector machines in structural engineering: a review
TL;DR: The results showed that SVM is superior to various other learning techniques considering the generalization capability of produced model.
Journal ArticleDOI
A novel support vector regression (SVR) model for the prediction of splice strength of the unconfined beam specimens
TL;DR: In this article, the authors developed a robust model for the prediction of splice strength encompassing significant parameters in a wide range using support vector regression which is for the first time used for this assessment.
Journal ArticleDOI
Modeling of steelmaking process with effective machine learning techniques
TL;DR: Overall, SVR performs best and DENFIS the next best followed by ANN and RF methods respectively, which suggest that the prediction precision given by SVR can meet the requirement for the actual production of steel.
Journal ArticleDOI
Modelling of compressive strength of geopolymer paste, mortar and concrete by optimized support vector machine
Ali Nazari,Jay Sanjayan +1 more
TL;DR: It was concluded that ICOA and GA are more suitable to optimize parameters of SVM for predicting compressive strength of the considered geopolymers, while ANN model was remained as one of the simplest approaches which can be used with reasonable accuracy for the problem of this paper.
References
More filters
Book
The Nature of Statistical Learning Theory
TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI
Yielding of steel sheets containing slits
TL;DR: In this article, a relation between extent of plastic yielding and external load applied was investigated, and panels containing internal and edge slits were loaded in tension and lengths of plastic zones were measured.
Book
Nonlinear Programming: Theory and Algorithms
TL;DR: The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques.
Analysis of crack formation and crack growth in concrete by means of fracture mechanics and finite elements
TL;DR: In this article, fracture mechanics is introduced into finite element analysis by means of a model where stresses are assumed to act across a crack as long as it is narrowly opened, which may be regarded as a way of expressing the energy adsorption in the energy balance approach.
Journal ArticleDOI
Analysis of crack formation and crack growth in concrete by means of fracture mechanics and finite elements
TL;DR: In this article, fracture mechanics is introduced into finite element analysis by means of a model where stresses are assumed to act across a crack as long as it is narrowly opened, which may be regarded as a way of expressing the energy adsorption in the energy balance approach.
Related Papers (5)
Prediction of elastic modulus of normal and high strength concrete by support vector machine
Kezhen Yan,Caijun Shi +1 more