About: The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE     Goto   Sponge   NotDistinct   Permalink

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  • 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.
  • 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. (en)
Title
  • The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE
  • The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE (en)
skos:prefLabel
  • The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE
  • The Method for Material Corrosion Modelling and Feature Selection with SVM-RFE (en)
skos:notation
  • RIV/00216305:26220/11:PU95155!RIV13-MSM-26220___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED2.1.00/03.0072), P(ME10123), S, Z(MSM0021630513)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 211754
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU95155
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Corrosion Modeling, Data processing Feature Selection, SVM-RF. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [92E104595BBA]
http://linked.open...v/mistoKonaniAkce
  • Budapest
http://linked.open...i/riv/mistoVydani
  • Neuveden
http://linked.open...i/riv/nazevZdroje
  • 34th International Conference on Telecommunications and Signal Processing (TSP 2011)
http://linked.open...in/vavai/riv/obor
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Radim
  • Fu, Dongmei
  • Qui, Xintao
  • Říha, Kamil
  • Fu, Zhenduo
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000299568700091
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
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  • Neuveden
https://schema.org/isbn
  • 978-1-4577-1409-2
http://localhost/t...ganizacniJednotka
  • 26220
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