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Computational Network Application Tools for Performance Management, Millie Pant; Tarun K. Sharma; Sebasti?n Basterrech


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Автор: Millie Pant; Tarun K. Sharma; Sebasti?n Basterrech
Название:  Computational Network Application Tools for Performance Management
ISBN: 9789813295841
Издательство: Springer
Классификация:





ISBN-10: 9813295848
Обложка/Формат: Hardcover
Страницы: 267
Вес: 0.59 кг.
Дата издания: 2020
Серия: Asset Analytics
Язык: English
Издание: 1st ed. 2020
Иллюстрации: 88 illustrations, color; 36 illustrations, black and white; xii, 267 p. 124 illus., 88 illus. in color.
Размер: 234 x 156 x 18
Читательская аудитория: Professional & vocational
Основная тема: Business and Management
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book explores a range of important theoretical and practical issues in the field of computational network application tools, while also presenting the latest advances and innovations using intelligent technology approaches. The main focus is on detecting and diagnosing complex application performance problems so that an optimal and expected level of system service can be attained and maintained. The book discusses challenging issues like enhancing system efficiency, performance, and assurance management, and blends the concept of system modeling and optimization techniques with soft computing, neural network, and sensor network approaches. In addition, it presents certain metrics and measurements that can be translated into business value. These metrics and measurements can also help to establish an empirical performance baseline for various applications, which can be used to identify changes in system performance. By presenting various intelligent technologies, the book provides readers with compact but insightful information on several broad and rapidly growing areas in the computation network application domain.The book’s twenty-two chapters examine and address current and future research topics in areas like neural networks, soft computing, nature-inspired computing, fuzzy logic and evolutionary computation, machine learning, smart security, and wireless networking, and cover a wide range of applications from pattern recognition and system modeling, to intelligent control problems and biomedical applications. The book was written to serve a broad readership, including engineers, computer scientists, management professionals, and mathematicians interested in studying tools and techniques for computational intelligence and applications for performance analysis. Featuring theoretical concepts and best practices in computational network applications, it will also be helpful for researchers, graduate and undergraduate students with an interest in the fields of soft computing, neural networks, machine learning, sensor networks, smart security, etc.
Дополнительное описание:
?Performance Enhanced Hybrid Memetic Framework for Effective Coverage Based Test Case Optimization.- An Optimization Procedure for Quadratic Fractional Transportation Problem.- A Nature Inspired PID like Fuzzy Knowledge Based Fractional Order Control



Computational Intelligence for Network Structure Analytics

Автор: Maoguo Gong; Qing Cai; Lijia Ma; Shanfeng Wang; Yu
Название: Computational Intelligence for Network Structure Analytics
ISBN: 9811045577 ISBN-13(EAN): 9789811045578
Издательство: Springer
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Цена: 16769.00 р.
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Описание: Introduction.- Network Community Discovery with Evolutionary Single-objective Optimization.- Network Community Discovery with Evolutionary Multi-objective Optimization.- Network Structure Balance Analytics with Evolutionary Optimization.- Network Robustness Analytics with Optimization.- Real-world Cases of Network Structure Analytics.- Concluding Remarks.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Автор: Marcin Mrugalski
Название: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
ISBN: 3319032860 ISBN-13(EAN): 9783319032863
Издательство: Springer
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Цена: 14365.00 р.
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Описание:

The present book is devoted to problems of adaptation of artificial neural networks to robust fault diagnosis schemes. It presents neural networks-based modelling and estimation techniques used for designing robust fault diagnosis schemes for non-linear dynamic systems.

A part of the book focuses on fundamental issues such as architectures of dynamic neural networks, methods for designing of neural networks and fault diagnosis schemes as well as the importance of robustness. The book is of a tutorial value and can be perceived as a good starting point for the new-comers to this field. The book is also devoted to advanced schemes of description of neural model uncertainty. In particular, the methods of computation of neural networks uncertainty with robust parameter estimation are presented. Moreover, a novel approach for system identification with the state-space GMDH neural network is delivered.

All the concepts described in this book are illustrated by both simple academic illustrative examples and practical applications.

Computational Science and High Performance Computing

Автор: Egon Krause; Yurii I. Shokin; Nina Shokina
Название: Computational Science and High Performance Computing
ISBN: 3642438105 ISBN-13(EAN): 9783642438103
Издательство: Springer
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Цена: 47377.00 р.
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Описание: Information and telecommunication systems for emergency management.- High Performance Computing in Engineering and Science.- Completely splitting method for the Navier-Stokes problem.- Methods of shock wave calculation.- Distributed and collaborative visualization of simulation results.- Safety problems of technical objects.- Direct numerical simulations of shock-boundary layer interaction at Ma = 6.- Mathematical models of filtration combustion and their applications.- Computer simulation at VNIIEF.- Mathematical modeling of optical communication lines with dispersion management.- Method of particles for incompressible flows with free surface.- Direct and inverse problems in the mechanics of composite plates and shells.- Numerical simulation of plasma-chemical reactors.- The application of smoothed particle hydrodynamics for the simulation of diesel injection.- Some features of modern computational mathematics: problems and new generation of algorithms.- Effcient flow simulation on high performance computers.- Simulation of problems with free surfaces by a boundary element method.- Simulation and optimisation for hydro power.- The analysis of behaviour of multilayered conic shells on the basis of nonclassical models.- Simulation of the motion and heating of an irregular plasma.- Numerics and simulations for convection dominated problems.- Modified Finite Volume Method for Calculation of Oceanic Waves on Unstructured Grids.- Performance aspects on high performance computers - from microprocessors to highly parallel smp systems.

Computational Science and High Performance Computing

Автор: Egon Krause; Yurii I. Shokin; Nina Shokina
Название: Computational Science and High Performance Computing
ISBN: 3540241205 ISBN-13(EAN): 9783540241201
Издательство: Springer
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Цена: 47377.00 р.
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Описание: "Proceedings of the Russian-German Advanced Research Workshop on Computational Science and High Performance Computing in Novosibirsk Academgorodok ... organized by the Institute of Computational Technologies SB RAS (Novosibirsk, Russia) and the High Performance Computing Center Stuttgart (Stuttgart, Germany)"--Pref.

Computational Science and High Performance Computing II

Автор: Egon Krause; Yurii I. Shokin; Nina Shokina
Название: Computational Science and High Performance Computing II
ISBN: 3642068642 ISBN-13(EAN): 9783642068645
Издательство: Springer
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Цена: 47377.00 р.
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Описание: This volume contains 27 contributions to the Second Russian-German Advanced Research Workshop on Computational Science and High Performance Computing presented in March 2005 at Stuttgart, Germany. Contributions range from computer science, mathematics and high performance computing to applications in mechanical and aerospace engineering.

Application of Computational Intelligence to Biology

Автор: Ravi Bhramaramba; Akula Chandra Sekhar
Название: Application of Computational Intelligence to Biology
ISBN: 9811003904 ISBN-13(EAN): 9789811003905
Издательство: Springer
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Цена: 9141.00 р.
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Описание: This book is a contribution of translational and allied research to the proceedings of the International Conference on Computational Intelligence and Soft Computing. It explains how various computational intelligence techniques can be applied to investigate various biological problems.

High Performance Computing for Computational Science – VECPAR 2016

Автор: In?s Dutra; Rui Camacho; Jorge Barbosa; Osni Marqu
Название: High Performance Computing for Computational Science – VECPAR 2016
ISBN: 3319619810 ISBN-13(EAN): 9783319619811
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 12fth International Conference on High Performance Computing in Computational Science, VECPAR 2016, held in Porto, Portugal, in June 2016. The 20 full papers presented were carefully reviewed and selected from 36 submissions.

High Performance Computing for Computational Science -- VECPAR 2014

Автор: Michel Dayd?; Osni Marques; Kengo Nakajima
Название: High Performance Computing for Computational Science -- VECPAR 2014
ISBN: 3319173529 ISBN-13(EAN): 9783319173528
Издательство: Springer
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Цена: 7826.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on High Performance Computing for Computational Science, VECPAR 2014, held in Eugene, OR, USA, in June/July 2014.

Computational Methods for Application in Industry 4.0

Автор: Karkalos
Название: Computational Methods for Application in Industry 4.0
ISBN: 3319923927 ISBN-13(EAN): 9783319923925
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book presents computational and statistical methods used by intelligent systems within the concept of Industry 4.0. The methods include among others evolution-based and swarm intelligence-based methods. It is intended for researchers who are new in computational and statistical methods but also to experienced users.

High Performance Computing for Computational Science – VECPAR 2018

Автор: Hermes Senger; Osni Marques; Rogerio Garcia; Tatia
Название: High Performance Computing for Computational Science – VECPAR 2018
ISBN: 3030159957 ISBN-13(EAN): 9783030159955
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on High Performance Computing in Computational Science, VECPAR 2018, held in S?o Pedro, Brazil, in September 2018. The 17 full papers and one short paper included in this book were carefully reviewed and selected from 32 submissions presented at the conference. The papers cover the following topics: heterogeneous systems, shared memory systems and GPUs, and techniques including domain decomposition, scheduling and load balancing, with a strong focus on computational science applications.

Militarized Conflict Modeling Using Computational Intelligence

Автор: Tshilidzi Marwala; Monica Lagazio
Название: Militarized Conflict Modeling Using Computational Intelligence
ISBN: 1447127013 ISBN-13(EAN): 9781447127017
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume offers a scientific approach to manage inter-country conflict. Readers will find that through simultaneous control of four specific aspects (democracy, dependency, allies and capacity), predicted dispute outcomes can be avoided.

Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis

Автор: Marcin Mrugalski
Название: Advanced Neural Network-Based Computational Schemes for Robust Fault Diagnosis
ISBN: 331901546X ISBN-13(EAN): 9783319015460
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Introduction.- Designing of dynamic neural networks.- Estimation methods in training of ANNs for robust fault diagnosis.- MLP in robust fault detection of static non-linear systems.- GMDH networks in robust fault detection of dynamic non-linear systems.- State-space GMDH networks for actuator robust FDI.


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