Turchenko I. Methods of Efficiency Improving for Multisensor Data Processing in Distributed Computer Systems

Research object - multi-sensor data processing in distributed computer systems. Goal - increasing of data processing efficiency in distributed computer systems by usage neural-based methods of multi-sensor output signal recognition and control influences forming for sections of mine ventilation network. Research methods - structural and functional analysis, neural networks theory, simulation and computer modeling. Theoretical result - neural-based methods of multi-sensor output signal recognition and neural-based method of control influences forming for a section of mine ventilation network. Practical result - hardware and software of data processing node of lower level of distributed computer system, software of higher level of the system. Economic effect - decreasing the cost for creation of distributed sensor-computer systems at simultaneous improvement of their technical and exploitation characteristics. Fields of usage - industry, scientific research.