Neural network simulation mode High Trafic submersibles
- 1 Senior Lecturer, Moscow Aviation Institute (National Research University)
- 2 Dr. Sc. (Eng.), Professor, Moscow Aviation Institute (National Research University)
- 3,4 Student, Moscow Aviation Institute (National Research University)
Keywords:
two-media flying apparatusneuronetstatistical samplehomingcavernreductioninversionteaching sample
Abstract
In the paper considered is high-speed movement of the two-media flying apparatus with homing on a moving target. Shows the pe-culiarity of this homing associated with gas-dynamic control. The choice of the control function implements by neuronet modeling based on neuronet learning through the inverse statistical teaching sample.
How to cite
Акимов Е.Н., Балык В.М., Маленков А.А., Станченко А.С. Нейросетевое моделирование режимов движения высокоскоростного подводного аппарата // Наукоемкие технологии. 2016. № 6. С. 48–52.
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