Прогнозні оцінки в математичних моделях поширення інформації за невизначеностей

• Дата: 2017
• Автори: Nakonechnyi, Oleksandr, Zinko, Petro, Shevchuk, Iuliia
• Формат: Стаття
• Мова: Ukrainian
• Опубліковано: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2017
• Теми: models of information spreading process; predictive estimation; uncertainty; rms estimation; модели распространения информации; прогнозные оценки; неопределенность; среднеквадратические оценки; моделі поширення інформації; прогнозні оцінки; невизначеність; середньоквадратичні оцінки
• Онлайн доступ: http://journal.iasa.kpi.ua/article/view/111225
• Назва журналу: System research and information technologies

The mathematical model of spreading the information of an arbitrary number of types was considered. The model takes the form of a system of non-linear ordinary differential equations with stationary parameters. Special cases of presenting observation errors are considered. The algorithms for building averaged optimal rms predictive estimation and guaranteed predictive estimation are offered. The algorithm for building averaged optimal rms predictive estimation for a case of spreading information of one type and the algorithm for finding guaranteed predictive estimation for a particular case of representing a set of possible observation errors are obtained. The results of a numerical experiment for the problem of building guaranteed predictive estimates for the system with two sources of information are considered.