Automatic Model Generation in Process Modelling

Most important for a more sophisticated process modelling is to limit the involvement of users in the overall modelling process to the inclusion of existing a priori knowledge while making this process more automated and more objective. Automatic model generation is based on these demands and is a powerful way to generate models of ill-defined problems. “KnowledgeMiner” is a powerful and easy-to-use modelling tool designed to support the modelling process on a highly automated level and which presently implements three advanced self-organising modelling technologies: GMDH, self-organising fuzzymodelling and Analog Complexing. Keywords. Self-organising modelling, automatic model generation, GMDHalgorithm, neural networks, fuzzy modelling, Analog Complexing