Decrease in volumes of industrial emissions of large-capacity manufactures with the use of the expert information

Potentialities to decrease industrial emissions of large-capacity manufactures in order to receive gas sulphur with the use of artificial intelligence methods are considered in the paper. The technique of intellectual jack reception in order to decrease the negative influence of immeasurable perturbation actions while controlling the weak-formalizable technological process is described. Its mathematical model possesses the property of a structural uncertainty. The expert information received from the results of expert’s actions supervision and by means of methods of expert survey is used to solve the problem. The method of subtractive clasterization is applied to receive membership functions. Structural-intellectual jack is an ANFIS-network. Hybrid algorithm is applied to train this network. The analysis of response surface for the offered device is carried out, and the possibility of its use in the modelling system "Klaus-A" is shown.