Virtual physically-correct agent’s antagonist muscles neuro-evolutionary control

Z. V. Nagoev ; M. I. Anchekov

News of the Kabardin-Balkar scientific center of RAS, no. 2 (2006), pp. 67-74.

Résumé

The virtual agent’s limb link motion control system in the physically-correct virtual environment is considered in this paper. The virtual environment description and the antagonist muscles-driven bone virtual model are presented. The control is brought about with the motoneuron implemented on the basis of the feed-forward neural net-work the weights of which are calculated with the genetic algorithm. The neural network agent’s structure and the learning algorithm together with the motoneuron learning experiments results are given.

Détail

Mots-clés : agent, neuron
Keywords: learning algorithm

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