Abstract
The main goal of the paper is an attempt to develop a rule-based expert system (ES) allowing prediction of the key output parameters of a flash smelting process. The expert system knowledge base was built with classification trees (C4.5 algorithm). The second task of the present study was to develop an expert system to support the selection of the control parameters for flash smelting process optimisation. The present paper also describes the results of flash smelting process modelling by using the ES and the concept of ES operation, in turn supporting the process control.