Abstract
In the article there are proposed relative error indices that can be used to evaluate neural models of different robots. The model of robot is identified using artificial neural networks with structure of the mathematical robot model in a form of the Lagrange-Euler equation. As an example the proposed indices are calculated for neural models of three different robots. Proposed indices significantly simplify an analysis and comparison of models of robots with different degree of freedom.
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