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A novel machine learning algorithm and its use in the modelling and simulation of dynamical systems

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1 Author(s)
Zografski, Z. ; Fac. of Electr. Eng., Univ. Kiril i Metodij, Skopje, Yugoslavia

A machine learning method, suitable for applications in domains involving complex nonlinear systems, is presented. The learning algorithm is used to construct a kind of associative memory which features a sophisticated local interpolation scheme and fast searching algorithms. Experiments with the implemented algorithm in the acquisition of the dynamics model for the well-known pole-balancing system verify the algorithm's theoretically derived time and space requirements and demonstrate its efficiency

Published in:

CompEuro '91. Advanced Computer Technology, Reliable Systems and Applications. 5th Annual European Computer Conference. Proceedings.

Date of Conference:

13-16 May 1991