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Computational Intelligence in Reliability Engineering / Evolutionary Techniques in Reliability Analysis and Optimization, Levitin Gregory



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Цена: 19224р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Англия: 909 шт.  Склад Америка: 53 шт.  
При оформлении заказа до: 3 апр 2020
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Автор: Levitin Gregory
Название:  Computational Intelligence in Reliability Engineering / Evolutionary Techniques in Reliability Analysis and Optimization
Издательство: Springer
Классификация:
Прикладная математика
Машиностроение: общее
Технический дизайн
Технология производства
Общая теория обработки данных
Применение эвм
Искусственный интеллект

ISBN: 3540373675
ISBN-13(EAN): 9783540373674
ISBN: 3-540-37367-5
ISBN-13(EAN): 978-3-540-37367-4
Обложка/Формат: Book w. online files
Страницы: 398
Вес: 0.755 кг.
Дата издания: 2007
Серия: Studies in Computational Intelligence
Язык: ENG
Иллюстрации: 99 black & white illustrations, 64 black & white tables, biography
Размер: 24.16 x 16.33 x 2.72 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Evolutionary techniques in reliability analysis and optimization
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Германии
Описание: This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in the resent years and chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques. Genetic algorithms are one of the most widely used metaheuristics, inspired by the optimization procedure that exists in nature, the biological phenomenon of evolution.
Дополнительное описание: Формат: 235x155
Илюстрации: 99
Круг читателей: Researchers, engineers, graduate students in Computational Intelligence and Reliability Engineering
Ключевые слова: Optimization
Neural Networks
Computational Intelligence
Reliability Engineering
Fault Diagnosis
Язык: eng
Оглавление: Advances in Optimal Reliability Design.- Multiobjective Metaheuristic Approaches to Reliability Optimization.- Genetic Algorithm Applications in Surveillance and Maintenance Optimization.- Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation.- New Evolutionary Methodologies for Integrated Safety System Design and Maintenance Optimization.- Optimal Redundancy Allocation of Multi-State Systems with Genetic Algorithms.- Intelligent Interactive Multiobjective Optimization of System Reliability.- Reliability Assessment of Composite Power Systems Using Genetic Algorithms.- Genetic Optimization of Multidimensional Technological Process Reliability.- Scheduling Multiple-version Programs on Multiple Processors.- Redundancy Optimization Problems with Uncertain Lifetimes.- Computational Intelligence Methods in Software Reliability Prediction.





Computational Intelligence in Aerospace Engineering

Автор: Wenbin Song
Название: Computational Intelligence in Aerospace Engineering
ISBN: 0124077145 ISBN-13(EAN): 9780124077140
Издательство: Elsevier Science
Рейтинг:
Цена: 8036 р.
Наличие на складе: Поставка под заказ.

Описание: Focuses on various computational intelligence (CI) methods that can be applied to improve the efficiency and effectiveness of aerospace design through numerical simulation. This book covers case studies and examples with industrial significance that help to make theory digestible for engineers and researchers without a computer science background.

Practical Applications of Computational Intelligence Techniques

Автор: Jain Lakhmi, De Wilde Philippe
Название: Practical Applications of Computational Intelligence Techniques
ISBN: 0792373200 ISBN-13(EAN): 9780792373209
Издательство: Springer
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Цена: 19542 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Computational intelligence paradigms have attracted the growing interest of researchers, scientists, engineers and application engineers in a number of everyday applications. These applications are not limited to any particular field and include engineering, business, banking and consumer electronics. Computational intelligence paradigms include artificial intelligence, artificial neural networks, fuzzy systems and evolutionary computing. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimisation applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge. Practical Applications of Computational Intelligence Techniques contains twelve chapters providing actual application of these techniques in the real world. Such examples include, but are not limited to, intelligent household appliances, aerial spray models, industrial applications and medical diagnostics and practice. This book will be useful to researchers, practicing engineers/scientists and students, who are interested in developing practical applications in a computational intelligence environment.

Computational Intelligence in Reliability Engineering / New Metaheuristics, Neural and Fuzzy Techniques in Reliability

Автор: Levitin Gregory
Название: Computational Intelligence in Reliability Engineering / New Metaheuristics, Neural and Fuzzy Techniques in Reliability
ISBN: 3540373713 ISBN-13(EAN): 9783540373711
Издательство: Springer
Рейтинг:
Цена: 17476 р.
Наличие на складе: Поставка под заказ.

Описание: This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.

Computational methods for reliability and risk analysis

Автор: Zio, Enrico
Название: Computational methods for reliability and risk analysis
ISBN: 9812839011 ISBN-13(EAN): 9789812839015
Издательство: World Scientific Publishing
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Цена: 9957 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Provides a basic illustration of some methods used in reliability and risk analysis for modelling the stochastic failure and repair behaviour of systems. This work offers an introduction to key issues of system reliability and risk analysis, like dependent failures and importance measures.

The Universal Generating Function in Reliability Analysis and Optimization

Автор: Levitin Gregory
Название: The Universal Generating Function in Reliability Analysis and Optimization
ISBN: 1852339276 ISBN-13(EAN): 9781852339272
Издательство: Springer
Рейтинг:
Цена: 17476 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Gives a comprehensive description of the universal generating function technique and its applications in binary and multi-state system reliability analysis. This monograph is of interest to those interested in system reliability, performance analysis and optimization in industrial, electrical and nuclear engineering.

Reliability modeling, analysis and optimization

Название: Reliability modeling, analysis and optimization
ISBN: 9812563881 ISBN-13(EAN): 9789812563880
Издательство: World Scientific Publishing
Рейтинг:
Цена: 24043 р.
Наличие на складе: Поставка под заказ.

Описание: As our modern information-age society grows in complexity both in terms of embedded systems and applications, the problems and challenges in reliability become ever more complex. Bringing together many of the leading experts in the field, this volume presents a broad picture of current research on system modeling and optimization in reliability and its applications. The book comprises twenty-three chapters organized into four parts: Reliability Modeling, Software Quality Engineering, Software Reliability, and Maintenance and Inspection Policies.

These sections cover a wide range of important topics, including system reliability modeling, optimization, software reliability and quality, maintenance theory and inspection, reliability failure analysis, sampling plans and schemes, software development processes and improvement, stochastic process modeling, statistical distributions and analysis, fault-tolerant performance, software measurements and cost effectiveness, queueing theory and applications, system availability, reliability of repairable systems, testing sampling inspection, software capability maturity model, accelerated life modeling, statistical control, and HALT testing.

Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers

Автор: Lisnianski
Название: Multi-state System Reliability Analysis and Optimization for Engineers and Industrial Managers
ISBN: 1849963193 ISBN-13(EAN): 9781849963190
Издательство: Springer
Рейтинг:
Цена: 17476 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This practically oriented book presents a comprehensive, up-to-date description of multi-state system (MSS) reliability as a natural extension of classical binary-state reliability. It presents all essential theoretical achievements in the field.

Reliability Engineering and Risk Analysis

Автор: Mohammad Modarres, Mark Kaminskiy and Vasiliy Kriv
Название: Reliability Engineering and Risk Analysis
ISBN: 0849392470 ISBN-13(EAN): 9780849392474
Издательство: Taylor&Francis
Рейтинг:
Цена: 7732 р.
Наличие на складе: Поставка под заказ.

Описание: With a focus on reliability analysis, this text provides a practical and comprehensive overview of reliability and risk analysis techniques. It features topics including generalized renewal with applications, Bayesian estimation methods, and estimation of bounds of repairable unit reliability and availability.

Hydrosystems engineering reliability assessment and risk analysis

Автор: Yeou-Koung Tung
Название: Hydrosystems engineering reliability assessment and risk analysis
ISBN: 0071451587 ISBN-13(EAN): 9780071451581
Издательство: McGraw-Hill
Рейтинг:
Цена: 12225 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Integrates reliability assessment and risk analysis into planning, design, and management. This book provides tools for designing safer, more reliable dams, storm sewer networks, water treatment plants, and pollution control systems. It demonstrates statistical and probability tools for solving a broad range of hydrosystem engineering problems.

Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference

Автор: Frenkel
Название: Applied Reliability Engineering and Risk Analysis: Probabilistic Models and Statistical Inference
ISBN: 1118539427 ISBN-13(EAN): 9781118539422
Издательство: Wiley
Рейтинг:
Цена: 12383 р.
Наличие на складе: Поставка под заказ.

Описание: This complete resource on the theory and applications of reliability engineering, probabilistic models and risk analysis consolidates all the latest research, presenting the most up-to-date developments in this field.

Computational Intelligence in Expensive Optimization Problems

Автор: Yoel Tenne; Chi-Keong Goh
Название: Computational Intelligence in Expensive Optimization Problems
ISBN: 3642107001 ISBN-13(EAN): 9783642107009
Издательство: Springer
Рейтинг:
Цена: 28835 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A combination of theoretical treatment and real-world insight introduce the field of computational intelligence in this valuable reference. Topics include neural networks, frameworks for optimization, parallelization of algorithms, and more.

Computational Intelligence / for Engineering and Manufacturing

Автор: Andina Diego, Pham Duc Truong
Название: Computational Intelligence / for Engineering and Manufacturing
ISBN: 0387374507 ISBN-13(EAN): 9780387374505
Издательство: Springer
Рейтинг:
Цена: 13833 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Unlike traditional computing, Computational Intelligence is tolerant of imprecise information, partial truth and uncertainty. This book presents a selected collection of contributions on a focused treatment of important elements of CI, centred on its key element: learning. All the contributors of this volume have direct bearing with this issue. From fundamentals to advanced systems as Multilayer Perceptron Artificial Neural Networks (ANN-MLP), Radial Basis Function Networks (RBF) and its relations with Fuzzy Sets and Support Vector Machines theory; and on to several critical applications in Engineering and Manufacturing. These are among applications where CI have excellent potential.This volume has specially taken Neural Networks, key elements of CI, to the next level. Both novice and expert readers can benefit from this timely addition to CI based literature. Towards that goal, the editors and the authors have made critical contributions and succeeded. They have paved the road for learning paradigms towards the solution of many real-world problems.


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