Study of dynamic objects by using neural networks

T.V. Iakovenko, E.S. Sakalo, T.S. Tkachova
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The given paper proposedis a research of methods for management of dynamic objects by using neural networks and analysis of their strength and weaknesses.
Keywords: neurocontroller, persethrone, reverse distribution of error, inversion, airlock module, module of criticism, hybrid neurodirection, multimodule neurodirection, PID-regulator
Reference:
Yakovenko, T.V., Sakalo, E.S. and Tkachёva, T.S. (2012), "Yssledovanye dynamycheskykh obъektov s pomoshchiu neironnыkh setei" , Scientific Works of Kharkiv National Air Force University, Vol. 3(32), pp. 130-133.