Residual Strength Prediction of Pipeline with Single Defect Based on SVM Algorithm
نویسندگان
چکیده
منابع مشابه
Operon prediction based on SVM
The operon is a specific functional organization of genes found in bacterial genomes. Most genes within operons share common features. The support vector machine (SVM) approach is here used to predict operons at the genomic level. Four features were chosen as SVM input vectors: the intergenic distances, the number of common pathways, the number of conserved gene pairs and the mutual information...
متن کاملSoftware Defect Prediction Based on Competitive Organization CoEvolutionary Algorithm
In order to improve the accuracy of prediction for software defect data sets, competitive organization coevolutionary algorithm is presented and applied for dealing with the software defect data. During this algorithm, mechanism of competition is introduced into coevolutionary algorithm. Then leagues are formed based on the importance of attributes among them. And three evolution operators whic...
متن کاملMIEC-SVM: automated pipeline for protein peptide/ligand interaction prediction
MOTIVATION MIEC-SVM is a structure-based method for predicting protein recognition specificity. Here, we present an automated MIEC-SVM pipeline providing an integrated and user-friendly workflow for construction and application of the MIEC-SVM models. This pipeline can handle standard amino acids and those with post-translational modifications (PTMs) or small molecules. Moreover, multi-threadin...
متن کاملAn Automatic Pipeline Monitoring System Based on PCA and SVM
This paper proposes a novel system for monitoring the health of underground pipelines. Some of these pipelines transport dangerous contents and any damage incurred might have catastrophic consequences. However, most of these damage are unintentional and usually a result of surrounding construction activities. In order to prevent these potential damages, monitoring systems are indispensable. Thi...
متن کاملA High - Accuracy Algorithm for Surface Defect Detection of Steel Based on DAG - SVM
The quality of the steel surface is a crucial parameter. An improved method based on machine vision for steel surface defects detection is proposed. The experiment is based on 20 images for each of 6 distinct steel defects, a total of 120 defective images achieved from the detection system. 128 different features are extracted from the images and feature dimensions are reduced by the principle ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Physics: Conference Series
سال: 2021
ISSN: 1742-6588,1742-6596
DOI: 10.1088/1742-6596/1944/1/012019