Presently, the demands for good paper quality are growing higher and higher. Since one important variable to assess paper quality is paper brightness, pulp bleaching is a most important concern. Therefore, it is extremely important to have a thorough understanding of the bleaching plant, in order to achieve those high standards. In this paper a neuro-fuzzy approach is proposed for modelling of the pulp bleaching plant at Companhia de Celulose do Caima, S.A. (Portugal). This strategy is conducted in two phase: in the first one, subtractive clustering is applied in order to extract a set of fuzzy rules; then, in the second stage, the centres and widths of the membership functions are tuned by means of a fuzzy neural network trained with backpropagation. This technique seems promising since it permits good results with large nonlinear plants. Furthermore, it describes the plant using a set of linguistic rules, which have the advantage of being closer to natural human language, so, more intuitive for operators. The results obtained so far can be acceptable, since the model root mean square error is about 0.2% of the real value.
1. K?dzio?ka, Kinga. "Zastosowanie systemów neuronowo-rozmytych do prognozowania szeregów finansowych." Prace Naukowe/Uniwersytet Ekonomiczny w Katowicach, Metody matematyczne, ekonometryczne i komputerowe w finansach i ubezpieczeniach 2009 (2011): 117-127.
Year 2010 : 1 citations
1. Hanafy T. (2010). “A modified Algorithm to Model Highly Nonlinear System”. Journal of American Science, Vol. 6(12), pp. 747-759.
Year 2009 : 1 citations
1. Guo Wei; Jian Liu; Jinwei Sun (2009). "Application of multifunctional sensing technique with ANFIS to physical parameters estimations of ternary solution with NaCl and sucrose," Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE , vol., no., pp.664-669, 5-7 May 2009.
Year 2007 : 1 citations
Bae, D.-H. Jeong, D. M. Kim, G. (2007). "Monthly dam inflow forecasts using weather forecasting information and neuro-fuzzy technique", HYDROLOGICAL SCIENCES JOURNAL, Vol. 52(1), pp. 99-113
Year 2003 : 1 citations
Haendel L. (2003). "Clusterverfahren zur datenbasierten Generierung interpretierbarer Regeln unter Verwendung lokaler Entscheidungskriterien?. PhD Thesis, Faculty of Electrical Engineering and Information Technologies, University of Dortmund, Germany
