Выбор переменных состояния и алгоритмов параметрической идентификации объекта по его кинематическим характеристикам
DOI:
https://doi.org/10.15587/2313-8416.2017.99049Słowa kluczowe:
распознавание образов, нечеткая кластеризация, алгоритмы параметрической классификации, обобщенные координаты, функции ЛамеAbstrakt
Показано, что для решения задачи качественной идентификации в условиях нечетких данных могут быть использованы алгоритмы нечеткой кластеризации или алгоритмы параметрической классификации. Предложено в условиях маскировки объекта в качестве информативных признаков для решения задачи распознавания использовать кинематические характеристики их движения: компоненты векторов скорости и ускорения характерных точек объекта в системе обобщенных координат с использованием функций Ламе
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