Learning Decision Sequences For Repetitive Processes—Selected Algorithms
| Автор: | |
|---|---|
| Співавтор: | |
| Резюме: | XI, 126 p. 32 illus., 19 illus. in color. text |
| Мова: | Англійська |
| Опубліковано: |
Cham :
Springer International Publishing : Imprint: Springer,
2022.
|
| Редагування: | 1st ed. 2022. |
| Серія: | Studies in Systems, Decision and Control,
401 |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/978-3-030-88396-6 |
| Формат: | Електронний ресурс Книга |
Зміст:
- Introduction
- Basic notions and notations
- Learning decision sequences
- Differential evolution with a population filter
- Decision making for COVID-19 suppression
- Stochastic gradient in learning
- Optimal decision sequences
- Learning from image sequences.