A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding

This paper presents the methodology of design of three different modeling techniques for predicting cement quality using input-output measurements of the closed circuit grinding in a cement plant. The modeling approaches used are: statistical, artificial neural networks (ANN), and adaptive neuro-fuz...

• Hoofdauteur: Minchala Ávila, Luis Ismael (author)
• Andere auteurs: Sanchez, C (author), Yungaicela, M (author)
• Formaat: article
• Gepubliceerd in: 2016
• Onderwerpen: Adaptive Neuro-Fuzzy Inference System; Artificial Neural Networks; Black-Box Model; Fineness Of The Cement
• Online toegang: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979279823&doi=10.1109%2fSYSCON.2016.7490538&partnerID=40&md5=f53a51d7025bdeb048c214c70c991b0a; http://dspace.ucuenca.edu.ec/handle/123456789/29168