Нейросетевые технологии в подготовке экономистов

Article is devoted to key questions of training of students-economists to technologies of artificial neural networks as parts of tools of the intellectual analysis of data. Neuronets is no other than the new tool of the analysis of data. Better than others the expert in this subject domain can use it. The main difficulties on a way of wider circulation of neurotechnologies are in inability of a wide range of professionals to formulate the problems in the terms allowing the simple neuronetwork decision. For this reason also it is necessary to train students-economists to use neural networks as tools in the solution of a set of hardly formalizable and non-formalizable tasks. In particular neurotechnologies can be used in the analysis of financial and bank activity, the exchange, stock and currency markets connected with high risks of models of behaviour of clients, etc. It is known that the accuracy of the forecast which is steadily reached by neuronetwork technologies at the solution of real tasks already exceeded 95%. However, use of neural networks won't cancel traditional mathematical and econometric methods of the analysis.