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
Publisher Springer International Publishing AG
Publication date2015
Pages235-245
ISBN (Print)978-3-319-12753-8
ISBN (Electronic)978-3-319-12754-5
DOIs
Publication statusPublished - 2015
MoE publication typeA3 Book chapter

Publication series

NameLecture Notes in Management and Industrial Engineering
PublisherSpringer International Publishing
Number6
Volume2015
ISSN (Print)2198-0772

Fields of Science

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

Cite this

Sodupe-Ortega, E., Urraca, R., Antonanzas, J., Alia-Martinez, M., Sanz-Garcia, A., & Martínez-de-Pisón, F. J. (2015). On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes. In J. L. Ayuso Muñoz, J. L. Yagüe Blanco, & S. F. Capuz-Rizo (Eds.), Project Management and Engineering (pp. 235-245). (Lecture Notes in Management and Industrial Engineering; Vol. 2015, No. 6). Springer International Publishing AG. https://doi.org/10.1007/978-3-319-12754-5_18
Sodupe-Ortega, E. ; Urraca, R. ; Antonanzas, J. ; Alia-Martinez, M. ; Sanz-Garcia, A. ; Martínez-de-Pisón, F. J. / On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes. Project Management and Engineering. editor / José Luis Ayuso Muñoz ; José Luis Yagüe Blanco ; Salvador F. Capuz-Rizo. Springer International Publishing AG, 2015. pp. 235-245 (Lecture Notes in Management and Industrial Engineering; 6).
@inbook{ca70079bd70440aa829976547106a4e1,
title = "On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes",
keywords = "On-line soft sensor, Rubber mixture process, Rheological rubber properties, Parsimony prediction model, Feature selection, 317 Pharmacy",
author = "E. Sodupe-Ortega and R. Urraca and J. Antonanzas and M. Alia-Martinez and A. Sanz-Garcia and Mart{\'i}nez-de-Pis{\'o}n, {F. J.}",
year = "2015",
doi = "10.1007/978-3-319-12754-5_18",
language = "English",
isbn = "978-3-319-12753-8",
series = "Lecture Notes in Management and Industrial Engineering",
publisher = "Springer International Publishing AG",
number = "6",
pages = "235--245",
editor = "{Ayuso Mu{\~n}oz}, {Jos{\'e} Luis} and {Yag{\"u}e Blanco}, {Jos{\'e} Luis} and Capuz-Rizo, {Salvador F.}",
booktitle = "Project Management and Engineering",
address = "Switzerland",

}

Sodupe-Ortega, E, Urraca, R, Antonanzas, J, Alia-Martinez, M, Sanz-Garcia, A & Martínez-de-Pisón, FJ 2015, On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes. in JL Ayuso Muñoz, JL Yagüe Blanco & SF Capuz-Rizo (eds), Project Management and Engineering. Lecture Notes in Management and Industrial Engineering, no. 6, vol. 2015, Springer International Publishing AG, pp. 235-245. https://doi.org/10.1007/978-3-319-12754-5_18

On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes. / Sodupe-Ortega, E.; Urraca, R.; Antonanzas, J.; Alia-Martinez, M.; Sanz-Garcia, A.; Martínez-de-Pisón, F. J.

Project Management and Engineering. ed. / José Luis Ayuso Muñoz; José Luis Yagüe Blanco; Salvador F. Capuz-Rizo. Springer International Publishing AG, 2015. p. 235-245 (Lecture Notes in Management and Industrial Engineering; Vol. 2015, No. 6).

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

TY - CHAP

T1 - On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes

AU - Sodupe-Ortega, E.

AU - Urraca, R.

AU - Antonanzas, J.

AU - Alia-Martinez, M.

AU - Sanz-Garcia, A.

AU - Martínez-de-Pisón, F. J.

PY - 2015

Y1 - 2015

KW - On-line soft sensor

KW - Rubber mixture process

KW - Rheological rubber properties

KW - Parsimony prediction model

KW - Feature selection

KW - 317 Pharmacy

U2 - 10.1007/978-3-319-12754-5_18

DO - 10.1007/978-3-319-12754-5_18

M3 - Chapter

SN - 978-3-319-12753-8

T3 - Lecture Notes in Management and Industrial Engineering

SP - 235

EP - 245

BT - Project Management and Engineering

A2 - Ayuso Muñoz, José Luis

A2 - Yagüe Blanco, José Luis

A2 - Capuz-Rizo, Salvador F.

PB - Springer International Publishing AG

ER -

Sodupe-Ortega E, Urraca R, Antonanzas J, Alia-Martinez M, Sanz-Garcia A, Martínez-de-Pisón FJ. On-line Soft Sensor Based on Regression Models and Feature Selection Techniques for Predicting Rubber Properties in Mixture Processes. In Ayuso Muñoz JL, Yagüe Blanco JL, Capuz-Rizo SF, editors, Project Management and Engineering. Springer International Publishing AG. 2015. p. 235-245. (Lecture Notes in Management and Industrial Engineering; 6). https://doi.org/10.1007/978-3-319-12754-5_18