Amanote Research

Amanote Research

    RegisterSign In

Seismic-Fault Detection Based on Multiattribute Support Vector Machine Analysis

doi 10.1190/segam2017-17748277.1
Full Text
Open PDF
Abstract

Available in full text

Date

August 17, 2017

Authors
Haibin DiMuhammad Amir ShafiqGhassan AlRegib
Publisher

Society of Exploration Geophysicists


Related search

Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process

Abstract and Applied Analysis
Applied MathematicsAnalysis
2014English

Electric Larceny Detection Based on Support Vector Machine

2019English

Transformer Fault Position Recognition Based on Probability Support Vector Machine

2012English

Fault Diagnosis of Steam Turbine Generator Unit Based on Support Vector Machine

International Journal of Hybrid Information Technology
Computer Science
2013English

Research on Image Steganography Information Detection Based on Support Vector Machine

2019English

Transformer Fault Diagnosis Based on Artificial Bee Colony Algorithm and Support Vector Machine

DEStech Transactions on Engineering and Technology Research
2018English

Instruction Detection System Based on Support Vector Machine Using BAT Algorithm

International Journal of Computer Applications
2017English

Bearing Fault Diagnosis via Kernel Matrix Construction Based Support Vector Machine

Journal of Vibroengineering
Materials ScienceMechanical Engineering
2017English

Analog Circuit Fault Diagnosis Based on Wavelet Transform and Improved Fuzzy Support Vector Machine

DEStech Transactions on Engineering and Technology Research
2016English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy