Research on Support Vector Machine's Prediction of Concrete Carbonization

Li, Zhitao; He, Hongming; Zhao, Shengli

doi:10.1109/isbim.2008.206

Cited by 4 publications

(3 citation statements)

References 1 publication

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“…Zhang et al [101] proposed a hybrid prediction framework based on the LSSVM and metaheuristic algorithm. Li et al [102] proposed the SVM method to predict the carbonation of concrete, and testing revealed that the prediction accuracy of SVMs is much higher than that of the BP network. Ruan Xiang [103] proposed an SVM regression model to predict concrete carbonation depth.…”

Section: Svm-based Prediction Modelmentioning

confidence: 99%

A Review of Concrete Carbonation Depth Evaluation Models

Wang,

Yang,

Peng

et al. 2024

Coatings

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Carbonation is one of the critical issues affecting the durability of reinforced concrete. Evaluating the depth of concrete carbonation is of great significance for ensuring the quality and safety of construction projects. In recent years, various prediction algorithms have been developed for evaluating concrete carbonation depth. This article provides a detailed overview of the existing prediction models for concrete carbonation depth. According to the data processing methods used in the model, the existing prediction models can be divided into mathematical curve models and machine learning models. The machine learning models can be further divided into the following categories: artificial neural network model, decision tree model, support vector machine model, and combined models. The basic idea of the mathematical curve model is to directly establish the relationship between the carbonation depth and age of concrete by using certain function curves. The advantage of the mathematical curve model is that only a small amount of experimental data is needed for curve fitting, which is very convenient for engineering applications. The limitation of the curve model is that it can only consider the influence of some factors on the carbonation depth of concrete, and the prediction accuracy cannot be guaranteed. The advantage of using the machine learning model to predict the carbonation depth of concrete is that many factors can be considered at the same time. When there are sufficient experimental data, the trained machine learning model can give more accurate prediction results than the mathematical curve model. The main defect of the machine learning model is that it needs a lot of experimental data as training samples, so it is not as convenient as the mathematical curve model in engineering applications. A future research direction may be to combine a machine learning model with a mathematical curve model to evaluate the carbonation depth of concrete more accurately.

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Section: Svm-based Prediction Modelmentioning

confidence: 99%

A Review of Concrete Carbonation Depth Evaluation Models

Wang,

Yang,

Peng

et al. 2024

Coatings

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“…At present, studies have shown that Chinese medicine Antler Antler can inhibit the expression of related bone metabolism genes, reduce the degradation of proteoglycan in cartilage, and slow down the degree of osteoarthritis degeneration. Sun Zhitao et al [3] established a rabbit model of osteoarthritis by anterior cruciate ligament dissection. After intervention with different concentrations of antler, hydroxyproline content, mRNA of cartilage target genes, proteoglycan, and collagen type Ⅱ in both knee joints were detected.…”

Section: Study On Single Chinese Medicinementioning

confidence: 99%

Research Progress in the Treatment of Knee Osteoarthritis with Chinese Medicine

2023

FMSR

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This paper reviews traditional Chinese medicine's research progress in preventing and treating knee osteoarthritis according to the domestic literature in recent years. The main contents of the research are collated, analyzed, and summarized. The results show that traditional Chinese medicine for the treatment of knee osteoarthritis includes single medicine, compound medicine, acupuncture, and drug combination, which can affect related molecules in experiments or clinical and achieve the purpose of treating knee osteoarthritis. Many conclusions are drawn from the research. Traditional Chinese medicine can affect the occurrence, development, and outcome of knee osteoarthritis at the molecular and cellular levels through multiple forms and multiple targets to achieve the treatment's purpose.

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“…As an example to this, Zhitao et al (2008) employed SVM to forecast concrete carbonation level. The comparison of results with those of BP network suggested that SVM method could perform much better and could be a useful reference for application in different engineering disciplines.…”

Section: Applications In Prediction Of Concrete Carbonationmentioning

confidence: 99%

Support Vector Machines in Structural Engineering: A Review

Çevik

Kurtoğlu

Bilgehan

et al. 2015

Journal of Civil Engineering and Management

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Recent development in data processing systems had directed study and research of engineering towards the creation of intelligent systems to evolve models for a wide range of engineering problems. In this respect, several modeling techniques have been created to simulate various civil engineering systems. This study aims to review the studies on support vector machines (SVM) in structural engineering and investigate the usability of this machine learning based approach by providing three case studies focusing on structural engineering problems. Firstly, the concept of SVM is explained and then, the recent studies on the application of SVM in structural engineering are summarized and discussed. Next, we performed three case studies using the experimental studies provided. Applicability of SVM in structural engineering is confirmed by these case studies. The results showed that SVM is superior to various other learning techniques considering the generalization capability of produced model.

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Research on Support Vector Machine's Prediction of Concrete Carbonization

Cited by 4 publications

References 1 publication

A Review of Concrete Carbonation Depth Evaluation Models

A Review of Concrete Carbonation Depth Evaluation Models

Research Progress in the Treatment of Knee Osteoarthritis with Chinese Medicine

Support Vector Machines in Structural Engineering: A Review

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