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The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU95155" target="_blank" >RIV/00216305:26220/11:PU95155 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE

  • Original language description

    Material corrosion has caused more and more losses and costs these years, so the world begins to pay much attention to this problem. In this paper, we mainly discuss the modelling and feature selection of Material corrosion data. With our experimental data with very small sample size, a model of corrosion rate is built. After specialized data preprocessing. By combining RFE and SVM, a novel feature selection method SVM-RFE is introduced. Then integrating this feature selection method and SVM modelling method, a special modelling framework is built. According to the experiments, the priority of this method is established not only on algorithm efficiency but also on predicting precision.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    34th International Conference on Telecommunications and Signal Processing (TSP 2011)

  • ISBN

    978-1-4577-1409-2

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    443-447

  • Publisher name

    Neuveden

  • Place of publication

    Neuveden

  • Event location

    Budapest

  • Event date

    Aug 18, 2011

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article