The behavior modeling in neural networks
- 1 Dr. Sc. (Econ.), Leading Expert of the Office of the Federation Council (Moscow)
- 2 Dr. Sc. (Phys.-Math.), Professor, Moscow Technical University of Communications and Informatics
Keywords:
artificial neural networkmodeling of behaviorneurons’ matrixchain of neuronsspeech forming
Abstract
The authors consider the opportunities of behavior’s modeling, which are different versions of course of events in twodimensional matrix of neurons, associated with eyesight. That’s assuming that the modeled progressions of events – protocols – are supposed to be stored in neural networks. The protocols’ development from visual to shaped and then to addresssymbol leads to the speech forming as means of thinking and an information transmission.
How to cite
Хакимов Б.В., Михеев И.М. Моделирование поведения в нейронных сетях // Нейрокомпьютеры: разработка, применение. 2018. № 2. С. 38–43.
References
- Galushkin A.I. Nejronny'e seti. Osnovy' teorii. M.: Goryachaya liniya – Telekom. 2010. 496 s.
- Ruchkin V.N., Romanchuk V.A., Fulin V.A. Kognitologiya i iskusstvenny'j intellekt. Ryazan': INTERMETA. 2012. 260 s.
- Xakimov B.V., Mixeev I.M. Modelirovanie my'shleniya v nejronny'x setyax / XV Vserossijskaya nauchnaya konferencziya «Nejrokomp'yutery' i ix primenenie». Tezisy' dokladov. M.: MGPPU. 2017. S. 71–72.
Full text, PDF
350 ₽