Specificity of risk assessment in project management

The work is devoted to the issues of risk forecasting in project management systems. paper proposes use analytical capabilities neural networks direct propagation. This an option that allows you take into account influence subjective factors when determining management. model such a network makes it possible bifurcation dependencies as formula for activating synapses. approach has its difficulties training network. It formalize conditions uncertainty input signals individual neurons. A taking using them propagation proposed. scope application dependence models shown. shown on example system, where both contractor and customer have factor. possibilities analyzing risks creation implementation projects are At same time, losing any from among those lead emergence risk-forming scenarios events excluded. shows how easy signal activation systems Such can make find solutions selected area wide range similar problems. However, requirement architecture be problematic because individuality each type task. For key been identified, including ones, which depend actual output functions allocated through trained perceptron. They reflect system projects. And we do this generalized version, without specification design proposed extended specified variety tasks type, differing only meaning logical statements. In aspect, material methodological nature applied not management, but also