By Kauko Leiviskä (auth.), Prof. Kauko Leiviskä (eds.)
Applications of sentimental Computing have lately elevated and methodological improvement has been powerful. The publication is a suite of recent attention-grabbing business purposes brought via a number of examine teams and commercial companions. It describes the rules and result of business functions of sentimental Computing equipment and introduces new percentages to achieve technical and monetary advantages by utilizing this system. The e-book indicates how fuzzy common sense and neural networks were utilized in the Finnish paper and metallurgical industries placing emphasis on procedures, purposes and technical and monetary results.
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Extra resources for Industrial Applications of Soft Computing: Paper, Mineral and Metal Processing Industries
Future Trends in Automation in Mineral and Metal Processing, IFAC Workshop Preprints. Finnish Society of Automation, Helsinki, pp. , Leung, K. (1991): Copper Flotation Expert System at Mount Isa Mines Limited. R. ) Proceedings Copper 91, pp. , Lappainen, H. -L. (1995): On-line determination of ore type using cluster analysis and neural networks. , Saxen, H. (1998): System for pattern recognition of blast furnace wall temperatures. In: Proceedings of TOOLMET '98 Symposium - Tool environments and development methods for intelligent systems.
In process control both open loop and closed-loop applications are in use. Advisory systems are based on process measurements and they are giving advises to process operators. In this case, only the operator closes the control loop. Basically, two variants of closed-loop control exist. First, Soft Computing Systems can replace existing controllers. Secondly, they are used as supervisory or adaptive controllers for changing set points or control strategies and adapting to varying operational conditions.
Future Trends in Automation in Mineral and Metal Processing, IFAC Workshop Preprints. Finnish Society of Automation, Helsinki, pp. 161-165 Rausch, H. (1997): Control of blast furnace performance using neural networks. In: ESIT '97 - First European Symposium on Applications of Intelligent Technologies Proceedings. Verlag Mainz, Aachen, Germany, pp. 37-44 Ruokonen, E. (1996): Application of the expert system based on neural network at the Kemi concentrator. In: Proceedings of TOOLMET'96 Symposium - Tool environments and development methods for intelligent systems.