To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on qualityrelevant target variables. The determination of influencing relationship and also the delay-time behaviour of various industrial processes makes it difficult to synthesis a quality prediction system. A hybrid modeling method combined with a suitable classification of process characteristics ensures a widespread model synthesis for quality prediction.      «

To substantially improve operational control of complex industrial plants, it is important to be able to predict the influences which process variables have on qualityrelevant target variables. The determination of influencing relationship and also the delay-time behaviour of various industrial processes makes it difficult to synthesis a quality prediction system. A hybrid modeling method combined with a suitable classification of process characteristics ensures a widespread model synthesis for...     »