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Complex System Modelling and Control Through Intelligent Soft Computations, Quanmin Zhu; Ahmad Taher Azar


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Автор: Quanmin Zhu; Ahmad Taher Azar
Название:  Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 9783319382388
Издательство: Springer
Классификация:





ISBN-10: 3319382381
Обложка/Формат: Paperback
Страницы: 863
Вес: 1.20 кг.
Дата издания: 22.09.2016
Серия: Studies in Fuzziness and Soft Computing
Язык: English
Размер: 234 x 156 x 44
Основная тема: Engineering
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Design and Modeling of Anti Wind Up PID Controllers.- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map.- Leukocyte Detection through an Evolutionary Method.- PWARX model identification based on clustering approach.- Supplier quality evaluation using a fuzzy multi criteria decision making approach.- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods.- Swarm Intelligence Techniques and Their Adaptive Nature with Applications.- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions.- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures.- Enhanced Power System Security Assessment through Intelligent Decision Trees.- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition.- A Rough Set Based Total Quality Management Approach in Higher Education.- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems.- Household Electrical Consumption Modeling through Fuzzy Logic Approach.- Modeling, Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach.- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches.- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach.- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement.- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning.- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis.- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches.- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances.- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique.- System Identification Technique and Neural Networks for Material Lifetime Assessment Application.- Measuring Software Reliability: A Trend using Machine Learning Techniques.- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.


Complex System Modelling and Control Through Intelligent Soft Computations

Автор: Quanmin Zhu; Ahmad Taher Azar
Название: Complex System Modelling and Control Through Intelligent Soft Computations
ISBN: 3319128825 ISBN-13(EAN): 9783319128825
Издательство: Springer
Рейтинг:
Цена: 26122.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Design and Modeling of Anti Wind Up PID Controllers.- A Hybrid Global Optimization Algorithm: Particle Swarm Optimization in Association with a Genetic Algorithm.- Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data.- Expert-Based Method of Integrated Waste Management Systems for Developing Fuzzy Cognitive Map.- Leukocyte Detection through an Evolutionary Method.- PWARX model identification based on clustering approach.- Supplier quality evaluation using a fuzzy multi criteria decision making approach.- Concept Trees: Building Dynamic Concepts from Semi-Structured Data using Nature-Inspired Methods.- Swarm Intelligence Techniques and Their Adaptive Nature with Applications.- Signal Based Fault Detection and Diagnosis for rotating electrical machines: Issues and Solutions.- Modelling Of Intrusion Detection System Using Artificial Intelligence -Evaluation Of Performance Measures.- Enhanced Power System Security Assessment through Intelligent Decision Trees.- Classification of Normal and Epileptic Seizure EEG Signals based on Empirical Mode Decomposition.- A Rough Set Based Total Quality Management Approach in Higher Education.- Iterative Dual Rational Krylov and Iterative SVD-Dual Rational Krylov Model Reduction for Switched Linear Systems.- Household Electrical Consumption Modeling through Fuzzy Logic Approach.- Modeling, Identification and Control of irrigation station with sprinkling: Takagi- Sugeno approach.- Review and Improvement of Several Optimal Intelligent Pitch Controllers and Estimator of WECS via Artificial Intelligent Approaches.- Secondary and Tertiary Structure Prediction of Proteins: A Bioinformatic Approach.- Approximation of Optimized Fuzzy Logic Controller for Shunt Active Power Filter.-Soft Computing Techniques For Optimal Capacitor Placement.- Advanced Metaheuristics-based Approach for Fuzzy Control Systems Tuning.- Robust Estimation Design for Unknown Inputs Fuzzy Bilinear Models: Application to Faults Diagnosis.- Unit Commitment Optimization Using Gradient-Genetic algorithm and Fuzzy logic approaches.- Impact of Hardware/Software Partitioning and MicroBlaze FPGA Configurations on the Embedded Systems Performances.- A Neural Approach to Cursive Handwritten Character Recognition using Features Extracted from Binarization Technique.- System Identification Technique and Neural Networks for Material Lifetime Assessment Application.- Measuring Software Reliability: A Trend using Machine Learning Techniques.- Hybrid Metaheuristic Approach for Scheduling of Aperiodic OS Tasks.

Advanced and Intelligent Computations in Diagnosis and Control

Автор: Zdzis?aw Kowalczuk
Название: Advanced and Intelligent Computations in Diagnosis and Control
ISBN: 3319231790 ISBN-13(EAN): 9783319231792
Издательство: Springer
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Цена: 20962.00 р.
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Описание:

Part I Fault Detection and Isolation.- Part II Estimation and Identification.- Part III Robust and Fault Tolerant Control.- Part IV Industrial and Medical Diagnostics.- Part V Artificial Intelligence.

Evolutionary Computations

Автор: Keigo Watanabe; M.M.A. Hashem
Название: Evolutionary Computations
ISBN: 3642058876 ISBN-13(EAN): 9783642058875
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Evolutionary computation, a broad field that includes genetic algorithms, evolution strategies, and evolutionary programming, has proven to offer well-suited techniques for industrial and management tasks - therefore receiving considerable attention from scientists and engineers during the last decade.

Autonomous Systems and Intelligent Agents in Power System Control and Operation

Автор: Christian Rehtanz
Название: Autonomous Systems and Intelligent Agents in Power System Control and Operation
ISBN: 3642072909 ISBN-13(EAN): 9783642072901
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Autonomous systems are one of the most important trends for the next generation of control systems. This book is the first to transfer autonomous systems concepts and intelligent agents theory into the control and operation environment of power systems.

Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations

Автор: George A. Anastassiou
Название: Intelligent Computations: Abstract Fractional Calculus, Inequalities, Approximations
ISBN: 3319669354 ISBN-13(EAN): 9783319669359
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This brief book presents the strong fractional analysis of Banach space valued functions of a real domain. The book`s results are abstract in nature: analytic inequalities, Korovkin approximation of functions and neural network approximation.

Parallel Evolutionary Computations

Автор: Enrique Alba
Название: Parallel Evolutionary Computations
ISBN: 3642069398 ISBN-13(EAN): 9783642069390
Издательство: Springer
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Цена: 23757.00 р.
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Описание: This book focuses on the aspects related to the parallelization of evolutionary computations, such as parallel genetic operators, parallel fitness evaluation, distributed genetic algorithms, and parallel hardware implementations, as well as on their impact on several applications.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Автор: Subhransu Sekhar Dash; K. Vijayakumar; Bijaya Keta
Название: Artificial Intelligence and Evolutionary Computations in Engineering Systems
ISBN: 9811031738 ISBN-13(EAN): 9789811031731
Издательство: Springer
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Цена: 41925.00 р.
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Описание: The volume is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computation in Engineering Systems (ICAIECES 2016) held at SRM University, Chennai, Tamilnadu, India.

Matrix Computations on Systolic-Type Arrays

Автор: Jaime Moreno; Tom?s Lang
Название: Matrix Computations on Systolic-Type Arrays
ISBN: 1461366046 ISBN-13(EAN): 9781461366041
Издательство: Springer
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Цена: 20962.00 р.
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Описание: Matrix Computations on Systolic-Type Arrays provides a framework which permits a good understanding of the features and limitations of processor arrays for matrix algorithms.

VLSI Systems and Computations

Автор: H.T. Kung; R. Sproull; G. Steele
Название: VLSI Systems and Computations
ISBN: 3642684041 ISBN-13(EAN): 9783642684043
Издательство: Springer
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Цена: 15372.00 р.
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Описание: The papers in this book were presented at the CMU Conference on VLSI Systems and Computations, held October 19-21, 1981 in Pittsburgh, Pennsylvania. The papers in this section deal with abstracting the properties of VLSI circuits into models that can be used to analyze the chip area, time or energy required for a particular computation.

Interactive Granular Computations in Networks and Systems Engineering: A Practical Perspective

Автор: Andrzej Jankowski
Название: Interactive Granular Computations in Networks and Systems Engineering: A Practical Perspective
ISBN: 3319576267 ISBN-13(EAN): 9783319576268
Издательство: Springer
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Цена: 30745.00 р.
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Описание:

The book outlines selected projects conducted under the supervision of the author. Moreover, it discusses significant relations between Interactive Granular Computing (IGrC) and numerous dynamically developing scientific domains worldwide, along with features characteristic of the author's approach to IGrC. The results presented are a continuation and elaboration of various aspects of Wisdom Technology, initiated and developed in cooperation with Professor Andrzej Skowron.

Based on the empirical findings from these projects, the author explores the following areas:
(a) understanding the causes of the theory and practice gap problem (TPGP) in complex systems engineering (CSE);

(b) generalizing computing models of complex adaptive systems (CAS) (in particular, natural computing models) by constructing an interactive granular computing (IGrC) model of networks of interrelated interacting complex granules (c-granules), belonging to a single agent and/or to a group of agents;

(c) developing methodologies based on the IGrC model to minimize the negative consequences of the TPGP.

The book introduces approaches to the above issues, using the proposed IGrC model. In particular, the IGrC model refers to the key mechanisms used to control the processes related to the implementation of CSE projects.

One of the main aims was to develop a mechanism of IGrC control over computations that model a project's implementation processes to maximize the chances of its success, while at the same time minimizing the emerging risks. In this regard, the IGrC control is usually performed by means of properly selected and enforced (among project participants) project principles. These principles constitute examples of c-granules, expressed by complex vague concepts (represented by c-granules too). The c-granules evolve with time (in particular, the meaning of the concepts is also subject of change). This methodology is illustrated using project principles applied by the author during the implementation of the POLTAX, AlgoTradix, Merix, and Excavio projects outlined in the book.

Time-Varying Systems and Computations

Автор: Patrick DeWilde; Alle-Jan van der Veen
Название: Time-Varying Systems and Computations
ISBN: 0792381890 ISBN-13(EAN): 9780792381891
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Provides a detailed exposition of a powerful unifying framework (developed by the authors) for the study of time-variant systems and the computational aspects and problems that arise in this context. This book shows the reader how the gap between analysis and linear algebra can be bridged.

Time-Varying Systems and Computations

Автор: Patrick DeWilde; Alle-Jan van der Veen
Название: Time-Varying Systems and Computations
ISBN: 1441950451 ISBN-13(EAN): 9781441950451
Издательство: Springer
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Цена: 27245.00 р.
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Описание: Complex function theory and linear algebra provide much of the basic mathematics needed by engineers engaged in numerical computations, signal processing or control. The transfer function of a linear time invariant system is a function of the complex vari- able s or z and it is analytic in a large part of the complex plane. Many important prop- erties of the system for which it is a transfer function are related to its analytic prop- erties. On the other hand, engineers often encounter small and large matrices which describe (linear) maps between physically important quantities. In both cases similar mathematical and computational problems occur: operators, be they transfer functions or matrices, have to be simplified, approximated, decomposed and realized. Each field has developed theory and techniques to solve the main common problems encountered. Yet, there is a large, mysterious gap between complex function theory and numerical linear algebra. For example, complex function theory has solved the problem to find analytic functions of minimal complexity and minimal supremum norm that approxi- e. g., as optimal mate given values at strategic points in the complex plane. They serve approximants for a desired behavior of a system to be designed. No similar approxi- mation theory for matrices existed until recently, except for the case where the matrix is (very) close to singular.


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