Professor Emeritus Kauko Leiviskä, University of Oulu
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Rajesh, K. and Ray, A.K. 2006. Artificial neural network for solving paper industry problems: A review. Journal of Scientific & Industrial Research 65(7):565—573.
Haataja, K., Leiviskä, K. and Sutinen R. 1997. Kappa-number estimation with neural networks.1997 IMEKO World Congress Proceedings, Finnish Society of Automation, vol. XA, Tampere, p. 1–5.
Leiviskä, K. 2006. Kappa number prediction with neural networks. Proceedings, Control Systems 2006, June 6–8, Tampere.
Aguiar, H.C. and Filho, R.M. 2001. Neural network and hybrid model: a discussion about different modeling techniques to predict pulping degree with industrial data. Chemical Engineering Science 56(2):565-570
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Correia, F.M., d’Angelo, J.V., Almeida, G.M., and Mingoti. S.A. 2018. Predicting Kappa number in a Kraft pulp continuous digester: a comparison of forecasting methods. Brazilian Journal of Chemical Engineering 35(03):1081-1094.
Keski-Säntti, J., Leiviskä, K. and Lampela, K. 1999. Production optimization of the pulp bleach plant – intelligent methods utilization approach. Conference: 6th International Conference on New Available Technologies, The World Pulp and Paper Week, Stockholm, Sweden, Proceedings, pp. 402-408.
Ciesielski, K. and Olejnik, K. 2014. Application of Neural Networks for Estimation of Paper Properties Based on Refined Pulp Properties. Fibres & Textiles in Eastern Europe 2014; 22(5)(107):126-132.
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Juneja, P.K., Ray, A.K. and Mitra, R. 2010. Fuzzy Control and Neural Network Control of Limekiln Process. International Journal of Electronics Engineering 2(2):305 – 306.
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