A knowledge based system to support the process selection during waste water treatment

作者: W Wukovits , M Harasek , A Friedl

DOI: 10.1016/S0921-3449(02)00100-3

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摘要: For the treatment of industrial wastewater a multitude processes is available. It task chemical engineer to choose and build up sequence suitable for actual problem. Because large number process combinations, knowledge-based system may be helpful during selection sequencing. The introduced knowledge based delivers on heuristics cost estimation. Depending supplied information more or less detailed suggested by program. article describes aim development system, gives an overview program functions presents result example consultation.