An adaptive neuro-fuzzy inference system as a soft sensor for viscosity in rubber mixing process

Advances in Neural Networks and Applications

Volumn , Issue , 2001, Pages 287-291

  Merikoski, Seppo ^a   Laurikkala, Mikko ^a   Koivisto, Hannu ^a  

^a TAMPERE UNIVERSITY OF TECHNOLOGY   (Finland)

Author keywords

ANFIS; Identification; Neuro fuzzy systems; Rubber mixing; Soft sensors; Viscosity

Indexed keywords

LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; ROTORS; RUBBER; SELF ORGANIZING MAPS;

NEURO-FUZZY INFERENCE SYSTEM; NEURO-FUZZY SYSTEMS; RUBBER MIXING; SOFT SENSORS;

SENSORS;

EID: 4944238889     PISSN: None     EISSN: None     Source Type: Book    
DOI: None     Document Type: Article

References (5)

1. Freakley, Philip K., Rubber Processing and Production Organization, Plenum Press 1985.
2. Manas-Zloczower, I., Z. Tadmor (ed.), Mixin and Compounding of Polymers. Theory and Practice, Hanser Publishers 1994.
3. Ryzko, P., E. Haberstroh, Quality Control of the Discontinuous Compounding Process in a Rubber Internal Mixer by Regression and Neural Networks Process Models, 155th ACS Rubber Division Meeting, Chicago 1999.
4. Jang, J.-S., C.-T. Sun, E. Mizutani, Neuro-Fuzzy and Soft Computing, Prentice-Hall 1997.
5. Kohonen, T., Self-Organizing Maps, Springer 1995.