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 »