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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Fuzzy Recurrence Plots and Networks with Applications in Biomedicine/ by Tuan D. Pham.
作者:
Pham, Tuan D.
面頁冊數:
XVII, 170 p. 71 illus., 32 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Coding and Information Theory. -
電子資源:
https://doi.org/10.1007/978-3-030-37530-0
ISBN:
9783030375300
Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
Pham, Tuan D.
Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
[electronic resource] /by Tuan D. Pham. - 1st ed. 2020. - XVII, 170 p. 71 illus., 32 illus. in color.online resource.
1. Phase Space in Chaos and Nonlinear Dynamics -- 2. Recurrence Plots -- 3. Fuzzy Logic -- 4. Fuzzy Recurrence Plots -- 5. Fuzzy Recurrence Networks -- 6. Entropy Algorithms -- 7. Applications in Biomedicine.
This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic algorithms, are included to facilitate the understanding of the developed ideas. Several applications of these techniques to biomedical problems, ranging from cancer and neurodegenerative disease to depression, are illustrated to show the potential of fuzzy recurrence methods. This book opens a new door to theorists in complex systems science as well as specialists in medicine, biology, engineering, physics, computer science, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.
ISBN: 9783030375300
Standard No.: 10.1007/978-3-030-37530-0doiSubjects--Topical Terms:
669784
Coding and Information Theory.
LC Class. No.: QA71-90
Dewey Class. No.: 518
Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
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