Author(s)

V. Dumek, M. Druckmiiller & M. Raudensky

Abstract

Neural network, expert system and inverse problems V. Dumek, M. Druckmiiller & M. Raudensky Technical University of Brno, Technicka 2, 616 69 Brno, Czech Republic Inverse problems are problems of determining cause on the basis of the knowledge of their effects. The object of the inverse heat conduction problem is to determine the external heat transfer (the cause) given observation of the temperature history at one or more interior points (the effect). This communication shows a new approach to inverse problems. This approach uses a neural network and an expert system. The examples shown in this paper were computed using back propagation software (neural network) and a system based on Lukasiewicz's many valued logic (expert system). The numerical technique of neural networks evolved from the effort to model the function of the human brain and expert systems take the place of expert knowledge in several areas. The solution to an inverse problem by neural networ

Keywords