COMPARISON OF OPTIMAL AND SUBOPTIMAL METHODS FOR PULP MILL PRODUCTION CONTROLLEIVISKA K.1980; LECTURE NOTES CONTROL INFORM. SCI.; DEU; DA. 1980; NO 23; PP. 600-608; BIBL. 6 REF.Conference Paper

STATIC AND DYNAMIC MODELLING OF A LIME-CIRCULATION LOOP.URONEN P; AURASMAA H; LEIVISKA K et al.1976; PAPERI JA PUU; SUOMI; DA. 1976; VOL. 58; NO 11; PP. 775-780 (5P.); ABS. FINIS; BIBL. 10 REF.Article

OPTIMIZING ENERGY IN CHEMICAL RECOVERY, PMS/CRJUTILA E; LEIVISKA K; VISURI M et al.1982; TAPPI, TECH. ASSOC. PULP PAP. IND.; ISSN 0039-8241; USA; DA. 1982; VOL. 65; NO 1; PP. 43-46Article

New topics in lime kiln controlURONEN, P; LEIVISKA, K.Pulp & paper Canada. 1989, Vol 90, Num 9, pp 113-118, issn 0316-4004Conference Paper

Control and economical examination of a rotary drierYLINIEMI, L; URONEN, P; LEIVISKA, K et al.International drying symposium. 3. 1982, pp 230-237Conference Paper

Régulation adaptative du procédé TMP avec mesure optique de la densité de la pâte = Adaptive regulation of the TMP process with optical measurement of sheet densitySUTINEN, R; SAARINEN, K; LEIVISKA, K et al.Revue ABB. 1994, Num 9, pp 10-18, issn 1013-3127Article

Fuzzy modelling of a pilot plant rotary dryerKOSKINEN, J; YLINIEMI, L; LEIVISKÄ, K et al.IEE conference publication. 1998, pp 515-518, issn 0537-9989, isbn 0-85296-708-X, 2VolConference Paper

Economic analysis of computer control in the pulp and paper industryURONEN, P; LEIVISKÄ, K; SUTINEN, R et al.Pulp & paper Canada. 1985, Vol 86, Num 8, pp 73-76, issn 0316-4004Article

D₁₀₀-stage bleaching control with fuzzy logicLAMPELA, K; KUUSISTO, L; LEIVISKÄ, K et al.Tappi journal. 1996, Vol 79, Num 4, pp 93-97, issn 0734-1415Article

On-line measurement of organic substances in paper machine wet end water using IR spectroscopyTORNBERG, J; NIEMELÄ, P; LEIVISKÄ, K et al.Paperi ja puu. 1993, Vol 75, Num 4, pp 228-232, issn 0031-1243Article

The advantages by the use of neural networks in modelling the fluidized bed granulation processMURTONIEMI, E; YLIRUUSI, J; KINNUNEN, P et al.International journal of pharmaceutics. 1994, Vol 108, Num 2, pp 155-164, issn 0378-5173Article

Effect of neural network topology and training end point in modelling the fluidized bed granulation processMURTONIEMI, E; MERKKU, P; KINNUNEN, P et al.International journal of pharmaceutics. 1994, Vol 110, Num 2, pp 101-108, issn 0378-5173Article

A data-based modelling scheme for estimating residual stress from Barkhausen noise measurementsSORSA, A; LEIVISKÄ, K; SANTA-AHO, S et al.Insight (Northampton). 2012, Vol 54, Num 5, pp 278-283, issn 1354-2575, 6 p.Article

Influence of granulation and compression process variables on flow rate of granules and on tablet properties, with special reference to weight variationMERKKU, P; LINDQVIST, A.-S; LEIVISKÄ, K et al.International journal of pharmaceutics. 1994, Vol 102, Num 1-3, pp 117-125, issn 0378-5173Article

A study on laser-processed grinding burn simulation and analysis based on Barkhausen noise measurementSORSA, A; LEIVISKÄ, K; SANTA-AHO, S et al.Insight (Northampton). 2010, Vol 52, Num 6, pp 293-297, issn 1354-2575, 5 p.Article