On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes

E. Sodupe-Ortega, R. Urraca, J. Antonanzas, M. Alia-Martinez, A. Sanz-Garcia, F. J. Martínez-de-Pisón

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Original languageEnglish
Title of host publicationProject Management and Engineering
EditorsJosé Luis Ayuso Muñoz, José Luis Yagüe Blanco, Salvador F. Capuz-Rizo
Number of pages11
PublisherSpringer International Publishing AG
Publication date2015
ISBN (Print)978-3-319-12753-8
ISBN (Electronic)978-3-319-12754-5
Publication statusPublished - 2015
MoE publication typeA3 Book chapter

Publication series

NameLecture Notes in Management and Industrial Engineering
PublisherSpringer International Publishing
ISSN (Print)2198-0772

Fields of Science

  • On-line soft sensor
  • Rubber mixture process
  • Rheological rubber properties
  • Parsimony prediction model
  • Feature selection
  • 317 Pharmacy

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