Интеллектуальный робастный регулятор на технологиях когнитивных вычислений. Ч. 1: Модели когнитивного управления с эмоциональным обучением мозга
Боковая панель статьи
Основное содержимое статьи
Аннотация
В системах управления и принятия решений в режиме реального времени эмоциональное обучение мозга является более предпочтительной методологией (по сравнению с методами на основе стохастического градиента и эволюционных алгоритмов) из-за своей низкой вычислительной сложности и быстрого робастного обучения. Для описания эмоционального обучения мозга была создана математическая модель – контроллер эмоционального обучения мозга (BELC). Проектирование интеллектуальных систем, основанных на эмоциональных сигналах, строится с применением методов управления на основе технологий мягких вычислений: искусственных нейронных сетей, нечеткого управления и
генетических алгоритмов. На основе смоделированной математической модели млекопитающих BEL разработана архитектура контроллера под названием «Интеллектуальный регулятор на основе эмоционального обучения мозга» (англ. BELBIC – Brain Emotional Learning Based Intelligent Controller) – нейробиологически мотивированный интеллектуальный регулятор, основанный на вычислительной модели эмоционального обучения в лимбической системе млекопитающих. В статье описаны модели интеллектуальных регуляторов на основе эмоционального обучения мозга. Возможности обучения, многоцелевые свойства и низкая вычислительная сложность BELBIC делают его перспективным инструментом для применения в приложениях реального времени.
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