Cognitive Adaptive Systems for Industrial Internet of Things Using Reinforcement Algorithm

Agile product development cycles and re-configurable Industrial Internet of Things (IIoT) allow more flexible and resilient industrial production systems that can handle a broader range of challenges and improve their productivity. Reinforcement Learning (RL) was shown to be able to support industri...

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Vydané v:	Electronics (Basel) Ročník 12; číslo 1; s. 217
Hlavní autori:	Rajawat, Anand Singh, Goyal, S. B., Chauhan, Chetan, Bedi, Pradeep, Prasad, Mukesh, Jan, Tony
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.01.2023
Predmet:	Adaptive systems Algorithms Automation Cognitive ability Computers Datasets Deep learning Factories Industrial applications Industrial Internet of Things Intelligence Machine learning Manufacturing Product development Reinforcement learning (Machine learning) Semantics India
ISSN:	2079-9292, 2079-9292
On-line prístup:	Získať plný text
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