Geodesic
Virtual physically-correct agent’s antagonist muscles neuro-evolutionary control
News of the Kabardin-Balkar scientific center of RAS, no. 2 (2006), pp. 67-74

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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.
Mots-clés : agent, neuron
Keywords: learning algorithm 
@article{IZKAB_2006_2_a6,
     author = {Z. V. Nagoev and M. I. Anchekov},
     title = {Virtual physically-correct agent{\textquoteright}s antagonist muscles  neuro-evolutionary control},
     journal = {News of the Kabardin-Balkar scientific center of RAS},
     pages = {67--74},
     publisher = {mathdoc},
     number = {2},
     year = {2006},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/IZKAB_2006_2_a6/}
}
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Z. V. Nagoev; M. I. Anchekov. Virtual physically-correct agent’s antagonist muscles  neuro-evolutionary control. News of the Kabardin-Balkar scientific center of RAS, no. 2 (2006), pp. 67-74. http://geodesic.mathdoc.fr/item/IZKAB_2006_2_a6/