Интеллектуальный робастный регулятор на технологиях когнитивных вычислений. Ч. 1: Модели когнитивного управления с эмоциональным обучением мозга

Основное содержимое статьи

А. А. Шевченко
А. В. Шевченко
О. Ю. Тятюшкина
С. В. Ульянов

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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Как цитировать
Шевченко, А. А., Шевченко, А. В., Тятюшкина , О. Ю., & Ульянов, С. В. (2021). Интеллектуальный робастный регулятор на технологиях когнитивных вычислений. Ч. 1: Модели когнитивного управления с эмоциональным обучением мозга. Системный анализ в науке и образовании, (4), 1–45. https://doi.org/10.37005/2071-9612-2020-4-90-134
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Статьи

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