Skakovskaya A. Functional-Statistical Image Recognition Model

The dissertation research was to develop a new effective functional-statistical model and adaptive method for image recognition allowing increasing image recognition systems functioning effectiveness by using iterative operations tuning automation. On basis of the system analysis special mathematical and programming tools destined to function in a system of artificial intelligence have been created. The developed model has been used as basis for the algorithm and the programming interface for image recognition that takes into account subjective features of the research. Automated data processing technology improvement and group of methods and models from the patterns recognition and fuzzy sets theories allow utilizing hardware-software complex that forms basis for researches of artificial intelligence systems synthesis