Satisfying Safety Goals by Probabilistic Risk Assessment, Hiromitsu Kumamoto
Автор: Thrun, Sebastian Название: Probabilistic robotics ISBN: 0262201623 ISBN-13(EAN): 9780262201629 Издательство: MIT Press Рейтинг: Цена: 95930.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
An introduction to the techniques and algorithms of the newest field in robotics.
Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in real-world situations. This book introduces the reader to a wealth of techniques and algorithms in the field. All algorithms are based on a single overarching mathematical foundation. Each chapter provides example implementations in pseudo code, detailed mathematical derivations, discussions from a practitioner's perspective, and extensive lists of exercises and class projects. The book's Web site, www.probabilistic-robotics.org, has additional material. The book is relevant for anyone involved in robotic software development and scientific research. It will also be of interest to applied statisticians and engineers dealing with real-world sensor data.
Автор: Zoltan Kovacs Название: Probabilistic Safety Assessment of WWER440 Reactors ISBN: 3319360701 ISBN-13(EAN): 9783319360706 Издательство: Springer Рейтинг: Цена: 95770.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- The nuclear power plant with WWER440 reactors.- Level 1 full power PSA.- Level 1 low power and shutdown PSA.- Level 2 PSA.- PSA applications.- Conclusions.
Автор: Kelly Название: Bayesian Inference for Probabilistic Risk Assessment ISBN: 1849961867 ISBN-13(EAN): 9781849961868 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems.
Автор: Tim Bedford Название: Probabilistic Risk Analysis ISBN: 0521773202 ISBN-13(EAN): 9780521773201 Издательство: Cambridge Academ Рейтинг: Цена: 98210.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Drawing on extensive experience, the authors focus on the conceptual and mathematical foundations underlying the quantification, interpretation and management of risk. They cover standard topics as well as important new subjects such as the use of expert judgement and uncertainty propagation. The relationship with decision making is highlighted.
Автор: Judea Pearl Название: Probabilistic Reasoning in Intelligent Systems, ISBN: 1558604790 ISBN-13(EAN): 9781558604797 Издательство: Elsevier Science Рейтинг: Цена: 63990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Probabilistic Reasoning in Intelligent Systems is a complete and accessible account of the theoretical foundations and computational methods that underlie plausible reasoning under uncertainty. The author provides a coherent explication of probability as a language for reasoning with partial belief and offers a unifying perspective on other AI approaches to uncertainty, such as the Dempster-Shafer formalism, truth maintenance systems, and nonmonotonic logic.
The author distinguishes syntactic and semantic approaches to uncertainty--and offers techniques, based on belief networks, that provide a mechanism for making semantics-based systems operational. Specifically, network-propagation techniques serve as a mechanism for combining the theoretical coherence of probability theory with modern demands of reasoning-systems technology: modular declarative inputs, conceptually meaningful inferences, and parallel distributed computation. Application areas include diagnosis, forecasting, image interpretation, multi-sensor fusion, decision support systems, plan recognition, planning, speech recognition--in short, almost every task requiring that conclusions be drawn from uncertain clues and incomplete information.
Probabilistic Reasoning in Intelligent Systems will be of special interest to scholars and researchers in AI, decision theory, statistics, logic, philosophy, cognitive psychology, and the management sciences. Professionals in the areas of knowledge-based systems, operations research, engineering, and statistics will find theoretical and computational tools of immediate practical use. The book can also be used as an excellent text for graduate-level courses in AI, operations research, or applied probability.
Автор: Marwala Tshilidzi Название: Probabilistic Finite Element Model Updating Using Bayesian Statistics ISBN: 1119153034 ISBN-13(EAN): 9781119153030 Издательство: Wiley Рейтинг: Цена: 97100.00 T Наличие на складе: Поставка под заказ. Описание: Probabilistic Finite Element Model Updating Using Bayesian Statistics: Applications to Aeronautical and Mechanical Engineering Tshilidzi Marwala and Ilyes Boulkaibet, University of Johannesburg, South Africa Sondipon Adhikari, Swansea University, UK Covers the probabilistic finite element model based on Bayesian statistics with applications to aeronautical and mechanical engineering Finite element models are used widely to model the dynamic behaviour of many systems including in electrical, aerospace and mechanical engineering. The book covers probabilistic finite element model updating, achieved using Bayesian statistics. The Bayesian framework is employed to estimate the probabilistic finite element models which take into account of the uncertainties in the measurements and the modelling procedure.
The Bayesian formulation achieves this by formulating the finite element model as the posterior distribution of the model given the measured data within the context of computational statistics and applies these in aeronautical and mechanical engineering. Probabilistic Finite Element Model Updating Using Bayesian Statistics contains simple explanations of computational statistical techniques such as Metropolis-Hastings Algorithm, Slice sampling, Markov Chain Monte Carlo method, hybrid Monte Carlo as well as Shadow Hybrid Monte Carlo and their relevance in engineering. Key features: * Contains several contributions in the area of model updating using Bayesian techniques which are useful for graduate students.
* Explains in detail the use of Bayesian techniques to quantify uncertainties in mechanical structures as well as the use of Markov Chain Monte Carlo techniques to evaluate the Bayesian formulations. The book is essential reading for researchers, practitioners and students in mechanical and aerospace engineering.
Автор: Zoltan Kovacs Название: Probabilistic Safety Assessment of WWER440 Reactors ISBN: 3319085476 ISBN-13(EAN): 9783319085470 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Introduction.- The nuclear power plant with WWER440 reactors.- Level 1 full power PSA.- Level 1 low power and shutdown PSA.- Level 2 PSA.- PSA applications.- Conclusions.
Автор: C.R. Sundararajan Название: Probabilistic Structural Mechanics Handbook ISBN: 1461357136 ISBN-13(EAN): 9781461357131 Издательство: Springer Рейтинг: Цена: 191560.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Carlos Guedes Soares Название: Probabilistic Methods for Structural Design ISBN: 9401063664 ISBN-13(EAN): 9789401063661 Издательство: Springer Рейтинг: Цена: 121890.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book contains contributions from various authors on different important topics related with probabilistic methods used for the design of structures. Initially several of the papers were prepared for advanced courses on structural reliability or on probabilistic methods for structural design.
Название: Probabilistic prognostics and health management of energy systems. ISBN: 331955851X ISBN-13(EAN): 9783319558516 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book proposes the formulation of an efficient methodology that estimates energy system uncertainty and predicts Remaining Useful Life (RUL) accurately with significantly reduced RUL prediction uncertainty.
Название: Conformal and probabilistic prediction with applications ISBN: 3319333941 ISBN-13(EAN): 9783319333946 Издательство: Springer Рейтинг: Цена: 46590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Theory of conformal prediction.- Applications of conformal prediction.- Machine learning.
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