Titlebook: Industrial Applications of Soft Computing; Paper, Mineral and M Kauko Leivisk? Book 2001 Springer-Verlag Berlin Heidelberg 2001 Metallurgic

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Soft Computing Applications in Mineral and Metal Industrieshe existing measurements more efficient or to replace the non-existing measurements with software systems that form the measurement signals e.g. from other, existing measurements. Both fuzzy logic and neural networks have been used. Another area is the monitoring of the measurement systems and assur

Latency

Soft Computing Applications in Pulp and Paper Industryised control rooms and standardised signal systems. Computerised process automation dates from the early 1960s with paper machine and digester control systems, when business computers of that time were the first computer control systems (Leivisk? 1999a).

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Soft Computing at a Flotation Plant998). In the continuous flow flotation cell (Fig. 1), air is pumped into a suspension of ore and water. The desired mineral tends to adhere to air bubbles and rises to the froth layer where the concentrate floats over the edge of the cell; the main part of other minerals remains in the slurry. The s

Onerous

Intelligent Modelling of Continuous Pulp Cookingquality at the minimum cost. Usually, the best quality means the minimisation of variation in the quality variables. Quality variations must simultaneously compensate for the effects of several types of disturbances. The main objective is to guarantee the similar cooking history for all chip particl

Complement

Fuzzy Quality Control of a TMP Plantefiners have closed-loop quality control (Sui et al. 1998). The basic reason for this situation is the complexity of the refining process. The quality control has to cope with two different kinds of disturbances: slowly proceeding wearing of refiner plates and faster variations in raw material quali