Learning Decision Sequences For Repetitive Processes Selected Algorithms: 401 (Studies in Systems, Decision and Control, 401) free ebook download.

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Learning Decision Sequences For Repetitive Processes Selected Algorithms: 401 (Studies in Systems, Decision and Control, 401) free ebook download

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Catalogue

Author(s):	Wojciech Rafajlowicz

Date:	2021	Format:	7z	Language:	English	ISBN/ASIN:	3030883957
Pages:	137	OCR:		Quality:		ISBN13:
Uploader:	eternal	Upload Date:	10/27/2021 12:09:49 PM

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This book provides tools and algorithms for solving a wide class of optimization tasks by learning from their repetitions. A unified framework is provided for learning algorithms that are based on the stochastic gradient (a golden standard in learning), including random simultaneous perturbations and the response surface the methodology. Original algorithms include model-free learning of short decision sequences as well as long sequencesrelying on model-supported gradient estimation. Learning is based on whole sequences of a process observation that are either vectors or images. This methodology is applicable to repetitive processes, covering a wide range from (additive) manufacturing to decision making for COVID-19 waves mitigation. A distinctive feature of the algorithms is learning between repetitionsthis idea extends the paradigms of iterative learning and run-to-run control. The main ideas can be extended to other decision learning tasks, not included in this book. The text is written in a comprehensible way with the emphasis on a user-friendly presentation of the algorithms, their explanations, and recommendations on how to select them. The book is expected to be of interest to researchers, Ph.D., and graduate students in computer science and engineering, operations research, decision making, and those working on the iterative learning control.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
3046242	Book	https://tezfiles.com/file/98ef7bfcd5c46/...		0.00	eternal

Tags: Algorithms Control Decision Learning Processes Repetitive Selected Sequences Studies Systems

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