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Advanced Fuzzy Systems Design and Applications

Advanced Fuzzy Systems Design and Applications PDF Author: Yaochu Jin
Publisher: Physica
ISBN: 3790817716
Category : Computers
Languages : en
Pages : 272

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Book Description
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

Advanced Fuzzy Systems Design and Applications

Advanced Fuzzy Systems Design and Applications PDF Author: Yaochu Jin
Publisher: Physica
ISBN: 3790817716
Category : Computers
Languages : en
Pages : 272

View

Book Description
Fuzzy rule systems have found a wide range of applications in many fields of science and technology. Traditionally, fuzzy rules are generated from human expert knowledge or human heuristics for relatively simple systems. In the last few years, data-driven fuzzy rule generation has been very active. Compared to heuristic fuzzy rules, fuzzy rules generated from data are able to extract more profound knowledge for more complex systems. This book presents a number of approaches to the generation of fuzzy rules from data, ranging from the direct fuzzy inference based to neural net works and evolutionary algorithms based fuzzy rule generation. Besides the approximation accuracy, special attention has been paid to the interpretabil ity of the extracted fuzzy rules. In other words, the fuzzy rules generated from data are supposed to be as comprehensible to human beings as those generated from human heuristics. To this end, many aspects of interpretabil ity of fuzzy systems have been discussed, which must be taken into account in the data-driven fuzzy rule generation. In this way, fuzzy rules generated from data are intelligible to human users and therefore, knowledge about unknown systems can be extracted.

Bionik

Bionik PDF Author: Torsten Rossmann
Publisher: Springer-Verlag
ISBN: 3540269487
Category : Technology & Engineering
Languages : de
Pages : 599

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Book Description
In vielen Wissenschafts- und Technikzweigen ist der praktische Nutzen der Bionik anerkannt. Die Lösung technischer Probleme mit Hilfe biologisch motivierter Prinzipien wird erfolgreich praktiziert. Außen vor blieb jedoch bisher die Verständigung zwischen den beteiligten Wissenschaftszweigen. Dieses Buch gibt einen aktuellen Überblick über die unterschiedlichen Forschungsfelder, angefangen von Optimierungsstrategien in der Robotik über Adaptive Beinprothesen, Informationsverarbeitung in natürlichen und künstlichen Systemen, Optimierungsstrategien in der Industrie bis hin zu Philosophischen Aspekten der Bionik. Somit unterstützt es erstmals einen Diskurs zwischen den Disziplinen und ermöglicht einen Austausch zwischen Forschern unterschiedlicher Fachgebiete. Die Beiträge sind allgemein verständlich geschrieben und wagen einen Blick in die Zukunft spannender Forschungsaufgaben.

Advanced Fuzzy Systems Design and Applications

Advanced Fuzzy Systems Design and Applications PDF Author: Yaochu Jin
Publisher: Springer Science & Business Media
ISBN: 9783790815375
Category : Computers
Languages : en
Pages : 292

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Book Description
This book presents a variety of recently developed methods for generating fuzzy rules from data with the help of neural networks and evolutionary algorithms. Special efforts have been put on dealing with knowledge incorporation into neural and evolutionary systems and knowledge extraction from data with the help of fuzzy logic. On the one hand, knowledge that is understandable to human beings can be extracted from data using evolutionary and learning methods by maintaining the interpretability of the generated fuzzy rules. On the other hand, a priori knowledge like expert knowledge and human preferences can be incorporated into evolution and learning, taking advantage of the knowledge representation capability of fuzzy rule systems and fuzzy preference models. Several engineering application examples in the fields of intelligent vehicle systems, process modeling and control and robotics are presented.

Fuzzy-Neuro Systems '98 - Computational Intelligence

Fuzzy-Neuro Systems '98 - Computational Intelligence PDF Author: Wilfried Brauer
Publisher: IOS Press
ISBN: 9781586031305
Category : Computers
Languages : en
Pages : 402

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Book Description


Advances in Evolutionary Computing for System Design

Advances in Evolutionary Computing for System Design PDF Author: Vasile Palade
Publisher: Springer
ISBN: 3540723773
Category : Computers
Languages : en
Pages : 326

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Book Description
Evolutionary computing paradigms offer robust and powerful adaptive search mechanisms for system design. This book’s thirteen chapters cover a wide area of topics in evolutionary computing and applications, including an introduction to evolutionary computing in system design; evolutionary neuro-fuzzy systems; and evolution of fuzzy controllers. The book will be useful to researchers in intelligent systems with interest in evolutionary computing, as well as application engineers and system designers.

Fuzzy System Identification and Adaptive Control

Fuzzy System Identification and Adaptive Control PDF Author: Ruiyun Qi
Publisher: Springer
ISBN: 3030198820
Category : Technology & Engineering
Languages : en
Pages : 282

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Book Description
This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output form T–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.

Advanced Fuzzy Logic Approaches in Engineering Science

Advanced Fuzzy Logic Approaches in Engineering Science PDF Author: Ram, Mangey
Publisher: IGI Global
ISBN: 1522557105
Category : Technology & Engineering
Languages : en
Pages : 488

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Book Description
Fuzzy logic techniques have had extraordinary growth in various engineering systems. The developments in engineering sciences have caused apprehension in modern years due to high-tech industrial processes with ever-increasing levels of complexity. Advanced Fuzzy Logic Approaches in Engineering Science provides innovative insights into a comprehensive range of soft fuzzy logic techniques applied in various fields of engineering problems like fuzzy sets theory, adaptive neuro fuzzy inference system, and hybrid fuzzy logic genetic algorithms belief networks in industrial and engineering settings. The content within this publication represents the work of particle swarms, fuzzy computing, and rough sets. It is a vital reference source for engineers, research scientists, academicians, and graduate-level students seeking coverage on topics centered on the applications of fuzzy logic in high-tech industrial processes.

Advanced Fuzzy Logic Technologies in Industrial Applications

Advanced Fuzzy Logic Technologies in Industrial Applications PDF Author: Ying Bai
Publisher: Springer Science & Business Media
ISBN: 1846284694
Category : Technology & Engineering
Languages : en
Pages : 334

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Book Description
This book introduces a dynamic, on-line fuzzy inference system. In this system membership functions and control rules are not determined until the system is applied and each output of its lookup table is calculated based on current inputs. The book describes the real-world uses of new fuzzy techniques to simplify readers’ tuning processes and enhance the performance of their control systems. It further contains application examples.

Fuzzy Systems in Bioinformatics and Computational Biology

Fuzzy Systems in Bioinformatics and Computational Biology PDF Author: Yaochu Jin
Publisher: Springer Science & Business Media
ISBN: 3540899677
Category : Computers
Languages : en
Pages : 336

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Book Description
Biological systems are inherently stochastic and uncertain. Thus, research in bioinformatics, biomedical engineering and computational biology has to deal with a large amount of uncertainties. Fuzzy logic has shown to be a powerful tool in capturing different uncertainties in engineering systems. In recent years, fuzzy logic based modeling and analysis approaches are also becoming popular in analyzing biological data and modeling biological systems. Numerous research and application results have been reported that demonstrated the effectiveness of fuzzy logic in solving a wide range of biological problems found in bioinformatics, biomedical engineering, and computational biology. Contributed by leading experts world-wide, this edited book contains 16 chapters presenting representative research results on the application of fuzzy systems to genome sequence assembly, gene expression analysis, promoter analysis, cis-regulation logic analysis and synthesis, reconstruction of genetic and cellular networks, as well as biomedical problems, such as medical image processing, electrocardiogram data classification and anesthesia monitoring and control. This volume is a valuable reference for researchers, practitioners, as well as graduate students working in the field of bioinformatics, biomedical engineering and computational biology.

Handbook of Computational and Numerical Methods in Finance

Handbook of Computational and Numerical Methods in Finance PDF Author: Svetlozar T. Rachev
Publisher: Springer Science & Business Media
ISBN: 0817681809
Category : Mathematics
Languages : en
Pages : 435

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Book Description
The subject of numerical methods in finance has recently emerged as a new discipline at the intersection of probability theory, finance, and numerical analysis. The methods employed bridge the gap between financial theory and computational practice, and provide solutions for complex problems that are difficult to solve by traditional analytical methods. Although numerical methods in finance have been studied intensively in recent years, many theoretical and practical financial aspects have yet to be explored. This volume presents current research and survey articles focusing on various numerical methods in finance. The book is designed for the academic community and will also serve professional investors.