К вопросу построения информационной системы подбора оптимальных характеристик искусственных нейронных сетей для задач прогнозирования в электроэнергетике

The questions related to the creation of information support for the selection of the optimum characteristics of artificial neural networks. This object is achieved in the solution of a system of projections of energy facilities. The author has analyzed the extant software for forecasting in power. In the selected base models of information systems in forecasting power, described in the UML-activity diagrams, identified strengths and weaknesses, trends. The author further the task of selecting the optimum characteristics of artificial neural networks has been formalized in the form of a problem by minimizing training time at a fixed sample solution is for large training samples takes a long time. To solve the problem of long training by the author proposed a method based on the concept of distributed computing MapReduce.