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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Veröffentlicht in:	Electronics (Basel) Jg. 12; H. 1; S. 217
Hauptverfasser:	Rajawat, Anand Singh, Goyal, S. B., Chauhan, Chetan, Bedi, Pradeep, Prasad, Mukesh, Jan, Tony
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2023
Schlagworte:	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
Online-Zugang:	Volltext
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