Developing measurement selection strategy for neural network models

Authors:
Przemysław Pretki;Marcin Witczak
Affiliations:
Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland;Institute of Control and Computation Engineering, University of Zielona Góra, Zielona Góra, Poland
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Year:
2005

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Abstract

The paper deals with an application of the theory of optimum experimental design to the problem of selecting the data set for developing neural models. Another objective is to show that neural network trained with the samples obtained according to D-optimum design is endowed with less parameters uncertainty what allows to obtain more reliable tool for modelling purposes.