Category Archives: System for forecasting air accidents and risk management

Identifying algorithm for Markov network parameters

To solve the problems with forecasting of plane crashes periodicity Markov networks can be used. Recent researches made in different fields (from psychology to diagnostics and forecasting in complex technical systems) show that such models can be adapted to solve a wide range of technical (engineering) problems. Terminologically using Markov networks can be considered as an analog of… Read more »

Trends in collection, analysis and forecasting of air accidents

Recently, the task of air crashes forecasting and warning is becoming more actual. Not only russian air companies and also air companies in the whole world are interested in it. The available forecasting methods are not universal, so in every single case particular forecasting methods are needed. Also methods can be adapted in every case. Forecasting and preventing… Read more »

Scientific and technical results of work at the first stage of ASR (applied scientific research)

While completing the work at the first stage of applied scientific research on the topic “Development of neural network system for forecasting air accidents and for safety risks management based on retrospective data including variety of parameters and text descriptions of events” the following results were obtained: There was carried out an analytical review of modern scientific and… Read more »

Development of a neural network system for air accidents forecasting

Development of a neural network system for air accidents forecasting and safety risks management based on retrospective data including many parameters and text event descriptions. Goals: Developing a method of applying deep neural networks for effectively solving problems of constructing multidimensional dynamic event models and forecasting the probability of events occurrence, characterized by parameters vector and text descriptions… Read more »