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Optimization, learning, and control ...

Amini, M. Hadi.

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Optimization, learning, and control for interdependent complex networks

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization, learning, and control for interdependent complex networks/ edited by M. Hadi Amini.
其他作者:	Amini, M. Hadi.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	x, 304 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Interdependent Complex Networks: Tale of IoT-based Smart Cities -- Deep Learning Algorithms for Energy Systems -- Distributed Algorithms for Interdependent Networks -- Online Optimization Learning for Interdependent Complex Networks -- Deep Learning Algorithms for Ramp Rate Prediction in Unit Commitment -- Networked Control Systems: Case Study of Unmanned Aerial Vehicle -- Conclusion.
Contained By:	Springer eBooks
標題:	System analysis. -
電子資源:	https://doi.org/10.1007/978-3-030-34094-0
ISBN:	9783030340940

Optimization, learning, and control for interdependent complex networks
Optimization, learning, and control for interdependent complex networks[electronic resource] /edited by M. Hadi Amini. - Cham :Springer International Publishing :2020. - x, 304 p. :ill. (some col.), digital ;24 cm. - Advances in intelligent systems and computing,v.11232194-5357 ;. - Advances in intelligent systems and computing ;v.1123..

Introduction -- Interdependent Complex Networks: Tale of IoT-based Smart Cities -- Deep Learning Algorithms for Energy Systems -- Distributed Algorithms for Interdependent Networks -- Online Optimization Learning for Interdependent Complex Networks -- Deep Learning Algorithms for Ramp Rate Prediction in Unit Commitment -- Networked Control Systems: Case Study of Unmanned Aerial Vehicle -- Conclusion.

ISBN: 9783030340940

Standard No.: 10.1007/978-3-030-34094-0doiSubjects--Topical Terms:

545616
System analysis.

LC Class. No.: QA402 / .O685 2020

Dewey Class. No.: 004.21

Optimization, learning, and control for interdependent complex networks
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505 0 $a Introduction -- Interdependent Complex Networks: Tale of IoT-based Smart Cities -- Deep Learning Algorithms for Energy Systems -- Distributed Algorithms for Interdependent Networks -- Online Optimization Learning for Interdependent Complex Networks -- Deep Learning Algorithms for Ramp Rate Prediction in Unit Commitment -- Networked Control Systems: Case Study of Unmanned Aerial Vehicle -- Conclusion.
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