Control of social and economic processes through the use of neurocomputing

One of the current problems in the control of socio-economic processes is insufficient theoretical validity of the subject-object relationship, causing an imbalance interaction management and control systems. Based on a systematic and synergetic approaches in science there is a line and units of socio-economic process as the information devices [1]. Formation of arrays of information on identified internal and external subsystems and metrics that describe the interaction between components and the organization representing the quantitative and qualitative data creates the prerequisites for using multidimensional neurocomputing systems for the study of socio-economic processes of the business entity.