Detection of Atmospheric Thermal Flows by Use of Artificial Neural Network / Kylančio Oro Srautų Nustatymas Dirbtiniais Neuronų Tinklais

Abstract

This article analyses the determination of a rising thermal flow with assistance of an artificial neural network. Input data for the artificial neural network are derived from aircraft navigation equipment. The output data of the artificial neural network is the assessment of rising or descending airflow conducted in real time. Simulation is carried out in idealised conditions. The simulation revealed the dependence of absolute error on the vertical air speed component and the aircraft's aerodynamic parameters.

External Ballistics Task Modelling Features / Išorinės Balistikos Uždavinio Modeliavimo Ypatumai

“…We shall discuss the concept of information interface (glyph) (Pincevičius et al 2006;Stankūnas, Suzdalev 2011;Zakarevičius et al 2010). By employing the possibilities of Geographical Information Systems (GIS), we created a 'tool' able to supply additional information about the capabilities of an object in the future.…”

“…The main task is to find out what the angle of the weapon tube should be to ensure that the bullet drops at the intended place. It is necessary to take into account changing conditions and to assess the impact of random factors on movement (Stankūnas, Suzdalev 2011;Dołega, Rogalski 2009). Based on the solutions of the external ballistics task, tables are made for firearms and tables or computer control programs for mortars.…”