Applications of neural networks in process engineeringBULSARI, Abhay; KALLIO, Sirpa.Artificial intelligence in engineering. 1997, Vol 11, Num 4, issn 0954-1810, 97 p.Conference Proceedings

Neural and adaptive controllers for a non-minimum phase varying time-delay systemTOUDEFT, A; GALLINARI, P.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 431-439, issn 0954-1810Conference Paper

NO formation tendency characterization for solid fuels in fluidized bedsKONTTINEN, Jukka; KALLIO, Sirpa; HUPA, Mikko et al.Fuel (Guildford). 2013, Vol 108, pp 238-246, issn 0016-2361, 9 p.Article

Space averaging on a gas-solid drag model for numerical simulations of a CFB riserSHAH, Srujal; RITVANEN, Jouni; HYPPÄNEN, Timo et al.Powder technology. 2012, Vol 218, pp 131-139, issn 0032-5910, 9 p.Article

Modeling of the time-averaged gas-solid drag force in a fluidized bed based on results from transient 2D Eulerian-Eulerian simulationsKALLIO, Sirpa; PELTOLA, Juho; NIEMI, Timo et al.Powder technology. 2014, Vol 261, pp 257-271, issn 0032-5910, 15 p.Article

Parametric study of the time-averaged gas-solid drag force in circulating fluidized bed conditionsKALLIO, Sirpa; PELTOLA, Juho; NIEMI, Timo et al.Powder technology. 2014, Vol 257, pp 20-29, issn 0032-5910, 10 p.Article

Char-nitrogen oxidation under fluidised bed combustion conditions: single particle studiesKILPINEN, Pia; KALLIO, Sirpa; KONTTINEN, Jukka et al.Fuel (Guildford). 2002, Vol 81, Num 18, pp 2349-2362, issn 0016-2361Conference Paper

A feedforward control strategy for distillation columnsBARATTI, R; CORTI, S; SERVIDA, A et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 405-412, issn 0954-1810Conference Paper

Identification and predictive control of a melter unit used in the sugar industryZAMARRENO, J. M; VEGA, P.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 365-373, issn 0954-1810Conference Paper

Data reconciliation for simulated flotation processDU, Y.-G; THIBAULT, J; HODOUIN, D et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 357-364, issn 0954-1810Conference Paper

Modelling pressure drop in water treatmentCONLIN, J; PEEL, C; MONTAGUE, G. A et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 393-400, issn 0954-1810Conference Paper

Extraction of structures from turbulent signalsFERRE-GINE, J; RALLO, R; ARENAS, A et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 413-419, issn 0954-1810Conference Paper

Neural networks for steady state modelling of an extruderWAGNER, M. G; MONTAGUE, G. A; THAM, M. T et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 375-382, issn 0954-1810Conference Paper

Estimation of inaccessible fermentation states with variable inoculum sizesDACOSTA, P; KORDICH, C; WILLIAMS, D et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 383-392, issn 0954-1810Conference Paper

Modelling of coagulant dosage in a water treatment plantGAGNON, C; GRANDJEAN, B. P. A; THIBAULT, J et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 401-404, issn 0954-1810Conference Paper

Modular modelling of an evaporator for long-range predictionRUSSELL, N. T; BAKKER, H. H. C.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 347-355, issn 0954-1810Conference Paper

Predicting the performance of different fuels in fluidized bed combustionHUPA, Mikko; KILPINEN, Pia; KALLIO, Sirpa et al.Industrial furnaces and boilers. European Conference. 2000, isbn 972-8034-04-0, 2Vol, vol 1, 113-128Conference Paper

Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coilANDERSON, C. W; HITTLE, D. C; KATZ, A. D et al.Artificial intelligence in engineering. 1997, Vol 11, Num 4, pp 421-429, issn 0954-1810Conference Paper