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Authors

Ayuev V. V.

E-mail
vadim.ayuyev@gmail.com
Articles

The dynamical method for reconfiguration and training of RBF network

The method for reconfiguration and training of RBF network parameters adjusting is presented. An approach suggested is based on determining the quality for current BF functions covering of training set and their dynamical recalculation. The neural model features high performance and enables automated radial functions parameters evaluation. Both RBF network development and the network optimization applications are allowed.

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Positioning agents when mapping enclosed rooms

Indoor local agent positioning problem is considered. Self-organization method for agents while obtaining information of the external environment parameters was synthesized. The methods for constructing a global agents’ coordinate system was created along with methods for local coordinate system computation. Comparative analysis with the wide spread mutual commitment method showed the considerable advantage of the hybrid approach while dealing with a large group of agents with high-speed data communication hardware.
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