2015
EMSS 2015 Proceeding
Nonlinear scaling in smart adaptive modelling
Authors: Esko Juuso
Abstract
Modelling methodologies provide a good basis for the integration of intelligent systems. Small, specialised systems have a large number of feasible solutions, but developing truly adaptive, and still understandable, systems for highly complex systems require domain expertise and more compact approaches at the basic level. The nonlinear scaling approach extends the application areas of linear methodologies to nonlinear modelling and reduces the need for decomposition with local models. The close connection to the fuzzy set systems provides a good basis for understandable models. Data-based methodologies are suitable for developing smart adaptive applications. Complex problems are solved level by level to keep the domain expertise as an essential part of the solution.
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