Ứng dụng phương pháp Bayes để đánh giá độ tin cậy trong hệ mờ :

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Ứng dụng phương pháp Bayes để đánh giá độ tin cậy trong hệ mờ : Luận văn tốt nghiệp Cao học. Chuyên ngành Lý thuyết xác suất và Thống kê toán học

Trình bày một số khái niệm cơ bản về mờ, thống kê Bayes cho ước lượng điểm của số mờ, ứng dụng phương pháp Bayes để đánh giá độ tin cậy trong hệ mờ.

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Bibliografische gegevens
Hoofdauteur:	Lê, Thanh Hà
Formaat:	Boek
Taal:	Undetermined
Gepubliceerd in:	Cần Thơ Trường Đại học Cần Thơ 2017
Onderwerpen:	Lý thuyết giải quyết thống kê Bayesian,Bayesian statistical decision theory
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

Thư viện lưu trữ:	Trung tâm Học liệu Trường Đại học Cần Thơ

Gelijkaardige items

Thống kê Bayes và ứng dụng trong mô hình thống kê phân cấp :
door: Nguyễn, Thị Tuyết Mai
Gepubliceerd in: (2011)

Phương pháp xích Markov - Monte Carlo trong thống kê Bayes và ứng dụng :
door: Lâm, Bửu Tân
Gepubliceerd in: (2011)

Suy luận Bayes và biến phân Bayes :
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Gepubliceerd in: (2015)

Phương pháp Bayes trong thử nghiệm lâm sàng ngẫu nhiên có đối chứng :
door: Trần, Nguyến Khái Hưng
Gepubliceerd in: (2011)

Thống kê Bayes và ứng dụng trong dự báo lợi tức cổ phiếu :
door: Thái, Phúc Hưng
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Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
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Gepubliceerd in: (1999)

Bayesian methods : an analysis for statisticians and interdisciplinary researchers /
door: Leonard, Thomas, 1948-
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Cải tiến bài toán phân loại bằng phương pháp Bayes :
door: Nguyễn, Minh Khánh
Gepubliceerd in: (2020)

Applied bayesian modelling
door: Congdon, Peter
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Bayesian networks :
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Bayesian networks :
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Bayesian Methods for the Physical Sciences: Learning from Examples in Astronomy and Physics
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Bayesian statistics :
door: Lee, Peter M.
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Interpreting probability :
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Gepubliceerd in: (2002)

Ứng dụng phương pháp Bayes trong phân tích nhân tố :
door: Trịnh, Bảo Điền
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Markov chain Monte Carlo : stochastic simulation for Bayesian inference.
door: Gamerman, Dani.
Gepubliceerd in: (2006)

The bayesian choice : From decision-theoretic foundations to computational implementation
door: Robert, Christian P
Gepubliceerd in: (2007)

Dự báo dịch bệnh trên tôm sú :
door: Nguyễn, Ngọc Hưng
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Contemporary bayesian and frequentist statistical research methods for natural resource scientists
door: Stauffer, Howard B.
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Probabilistic reasoning in multiagent systems: A grapical models approach
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Probabilistic reasoning in multiagent systems : a graphical models approach /
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Bayesian bounds for parameter estimation and nonlinear filtering/tracking
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Bayesian artificial Intelligence : Chapman & hallCrc computer science and data analysis
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Dự báo dịch bệnh trên cá da trơn (cá tra) :
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Theory of preliminary test and Stein-type estimation with applications
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Information gleaned and former patch quality determine foraging behavior of parasitic wasps /

Approximate Bayesian computation in evolution and ecology /
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Hỗ trợ ra quyết định với mạng quyết định không thứ tự :
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Bayesian and Frequentist Regression Methods
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Sequential dynamic classification using latent variable models /
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Hỗ trợ ra quyết định với mạng quyết định có thứ tự :
door: Huỳnh, Hán Thanh
Gepubliceerd in: (2009)

Super-resolution of multispectral images /

Percentile-based empirical distribution function estimates for performance evaluation of healthcare providers /
door: Paddock, Susan M.

Bayesian method for groundwater quality monitoring network analysis /
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Bayesian gene set analysis for identifying significant biological pathways /

Bayesian methods for image super-resolution /

Parametric non-mixture cure models for schedule finding of therapeutic agents /
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Statistical calibration of climate system properties /
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Information security risk modeling using bayesian index /
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Integrating location models with Bayesian analysis to inform decision making /