Evolutionary Design Of Intelligent Systems In Modeling Simulation And Control

Evolutionary Design Of Intelligent Systems In Modeling Simulation And Control Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Evolutionary Design Of Intelligent Systems In Modeling Simulation And Control book. This book definitely worth reading, it is an incredibly well-written.

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control

Oscar Castillo,Witold Pedrycz
Evolutionary Design of Intelligent Systems in Modeling Simulation and Control Book PDF

Author : Oscar Castillo,Witold Pedrycz
Publisher : Springer
Page : 327 pages
File Size : 46,6 Mb
Release : 2009-10-13
Category : Technology & Engineering
ISBN : 9783642045141

Get Book

Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control by Oscar Castillo,Witold Pedrycz Pdf

We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al.

Intelligent Systems

Yung C. Shin,Chengying Xu
Intelligent Systems Book PDF

Author : Yung C. Shin,Chengying Xu
Publisher : CRC Press
Page : 456 pages
File Size : 41,9 Mb
Release : 2017-12-19
Category : Technology & Engineering
ISBN : 9781420051773

Get Book

Intelligent Systems by Yung C. Shin,Chengying Xu Pdf

Providing a thorough introduction to the field of soft computing techniques, Intelligent Systems: Modeling, Optimization, and Control covers every major technique in artificial intelligence in a clear and practical style. This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic algorithms. The book demonstrates concepts through simulation examples and practical experimental results. Case studies are also presented from each field to facilitate understanding.

Nature-Inspired Design of Hybrid Intelligent Systems

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Nature Inspired Design of Hybrid Intelligent Systems Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 838 pages
File Size : 44,5 Mb
Release : 2016-12-08
Category : Technology & Engineering
ISBN : 9783319470542

Get Book

Nature-Inspired Design of Hybrid Intelligent Systems by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book highlights recent advances in the design of hybrid intelligent systems based on nature-inspired optimization and their application in areas such as intelligent control and robotics, pattern recognition, time series prediction, and optimization of complex problems. The book is divided into seven main parts, the first of which addresses theoretical aspects of and new concepts and algorithms based on type-2 and intuitionistic fuzzy logic systems. The second part focuses on neural network theory, and explores the applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The book’s third part presents enhancements to meta-heuristics based on fuzzy logic techniques and describes new nature-inspired optimization algorithms that employ fuzzy dynamic adaptation of parameters, while the fourth part presents diverse applications of nature-inspired optimization algorithms. In turn, the fifth part investigates applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. The sixth part examines new optimization algorithms and their applications. Lastly, the seventh part is dedicated to the design and application of different hybrid intelligent systems.

Recent Advances on Hybrid Intelligent Systems

Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Recent Advances on Hybrid Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Janusz Kacprzyk
Publisher : Springer
Page : 572 pages
File Size : 51,9 Mb
Release : 2012-09-14
Category : Technology & Engineering
ISBN : 9783642330216

Get Book

Recent Advances on Hybrid Intelligent Systems by Oscar Castillo,Patricia Melin,Janusz Kacprzyk Pdf

This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization

Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Design of Intelligent Systems Based on Fuzzy Logic Neural Networks and Nature Inspired Optimization Book PDF

Author : Patricia Melin,Oscar Castillo,Janusz Kacprzyk
Publisher : Springer
Page : 637 pages
File Size : 50,5 Mb
Release : 2015-06-12
Category : Computers
ISBN : 9783319177472

Get Book

Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization by Patricia Melin,Oscar Castillo,Janusz Kacprzyk Pdf

This book presents recent advances on the design of intelligent systems based on fuzzy logic, neural networks and nature-inspired optimization and their application in areas such as, intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. The book is organized in eight main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of theoretical aspects of fuzzy logic, which basically consists of papers that propose new concepts and algorithms based on fuzzy systems. The second part contains papers with the main theme of neural networks theory, which are basically papers dealing with new concepts and algorithms in neural networks. The third part contains papers describing applications of neural networks in diverse areas, such as time series prediction and pattern recognition. The fourth part contains papers describing new nature-inspired optimization algorithms. The fifth part presents diverse applications of nature-inspired optimization algorithms. The sixth part contains papers describing new optimization algorithms. The seventh part contains papers describing applications of fuzzy logic in diverse areas, such as time series prediction and pattern recognition. Finally, the eighth part contains papers that present enhancements to meta-heuristics based on fuzzy logic techniques.

Type-2 Fuzzy Logic in Intelligent Control Applications

Oscar Castillo
Type 2 Fuzzy Logic in Intelligent Control Applications Book PDF

Author : Oscar Castillo
Publisher : Springer
Page : 190 pages
File Size : 52,6 Mb
Release : 2011-11-08
Category : Technology & Engineering
ISBN : 9783642246630

Get Book

Type-2 Fuzzy Logic in Intelligent Control Applications by Oscar Castillo Pdf

We describe in this book, hybrid intelligent systems based mainly on type-2 fuzzy logic for intelligent control. Hybrid intelligent systems combine several intelligent computing paradigms, including fuzzy logic, and bio-inspired optimization algorithms, which can be used to produce powerful automatic control systems. The book is organized in three main parts, which contain a group of chapters around a similar subject. The first part consists of chapters with the main theme of theory and design algorithms, which are basically chapters that propose new models and concepts, which can be the basis for achieving intelligent control with interval type-2 fuzzy logic. The second part of the book is comprised of chapters with the main theme of evolutionary optimization of type-2 fuzzy systems in intelligent control with the aim of designing optimal type-2 fuzzy controllers for complex control problems in diverse areas of application, including mobile robotics, aircraft dynamics systems and hardware implementations. The third part of the book is formed with chapters dealing with the theme of bio-inspired optimization of type-2 fuzzy systems in intelligent control, which includes the application of particle swarm intelligence and ant colony optimization algorithms for obtaining optimal type-2 fuzzy controllers.

Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Recent Advances on Hybrid Approaches for Designing Intelligent Systems Book PDF

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk
Publisher : Springer
Page : 721 pages
File Size : 49,5 Mb
Release : 2014-03-26
Category : Technology & Engineering
ISBN : 9783319051703

Get Book

Recent Advances on Hybrid Approaches for Designing Intelligent Systems by Oscar Castillo,Patricia Melin,Witold Pedrycz,Janusz Kacprzyk Pdf

This book describes recent advances on hybrid intelligent systems using soft computing techniques for diverse areas of application, such as intelligent control and robotics, pattern recognition, time series prediction and optimization complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of type-2 fuzzy logic, which basically consists of papers that propose new models and applications for type-2 fuzzy systems. The second part contains papers with the main theme of bio-inspired optimization algorithms, which are basically papers using nature-inspired techniques to achieve optimization of complex optimization problems in diverse areas of application. The third part contains papers that deal with new models and applications of neural networks in real world problems. The fourth part contains papers with the theme of intelligent optimization methods, which basically consider the proposal of new methods of optimization to solve complex real world optimization problems. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization.

Evolutionary Algorithms and Chaotic Systems

Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen
Evolutionary Algorithms and Chaotic Systems Book PDF

Author : Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen
Publisher : Springer Science & Business Media
Page : 533 pages
File Size : 46,6 Mb
Release : 2010-02-23
Category : Computers
ISBN : 9783642107061

Get Book

Evolutionary Algorithms and Chaotic Systems by Ivan Zelinka,Sergej Celikovský,Hendrik Richter,Guanrong Chen Pdf

This book discusses the mutual intersection of two fields of research: evolutionary computation, which can handle tasks such as control of various chaotic systems, and deterministic chaos, which is investigated as a behavioral part of evolutionary algorithms.

Multi-Objective Swarm Intelligent Systems

Leandro dos Santos Coelho
Multi Objective Swarm Intelligent Systems Book PDF

Author : Leandro dos Santos Coelho
Publisher : Springer
Page : 211 pages
File Size : 43,8 Mb
Release : 2009-11-23
Category : Computers
ISBN : 9783642051654

Get Book

Multi-Objective Swarm Intelligent Systems by Leandro dos Santos Coelho Pdf

This book covers the latest in multi-objective swarm intelligence and cooperative behavior. It contains innovative and intriguing applications as well as additions to the methodology and theory of genetic programming.

Uncertainty Approaches for Spatial Data Modeling and Processing

Janusz Kacprzyk,Frederick E. Petry,Adnan Yazici
Uncertainty Approaches for Spatial Data Modeling and Processing Book PDF

Author : Janusz Kacprzyk,Frederick E. Petry,Adnan Yazici
Publisher : Springer Science & Business Media
Page : 202 pages
File Size : 54,6 Mb
Release : 2010-02-22
Category : Computers
ISBN : 9783642106620

Get Book

Uncertainty Approaches for Spatial Data Modeling and Processing by Janusz Kacprzyk,Frederick E. Petry,Adnan Yazici Pdf

This volume is dedicated to the memory of Professor Ashley Morris who passed away some two years ago. Ashley was a close friend of all of us, the editors of this volume, and was also a Ph.D. student of one of us. We all had a chance to not only fully appreciate, and be inspired by his contributions, which have had a considerable impact on the entire research community. Due to our personal relations with Ashley, we also had an opportunity to get familiar with his deep thinking about the areas of his expertise and interests. Ashley has been involved since the very beginning of his professional career in database research and practice. Notably, he introduced first some novel solution in database management systems that could handle imprecise and uncertain data, and flexible queries based on imprecisely specified user interests. He proposed to use for that purpose fuzzy logic as an effective and efficient tool. Later the interests of Ashley moved to ways of how to represent and manipulate more complicated databases involving spatial or temporal objects. In this research he discovered and pursued the power of Geographic Information Systems (GISs). These two main lines of Ashley’s research interests and contributions are reflected in the composition of this volume. Basically, we collected some significant papers by well known researchers and scholars on the above mentioned topics. The particular contributions will now be briefly summarized to help the reader get a view of the topics covered and the contents of the particular contributions.

Computational Intelligence in Intelligent Data Analysis

Christian Moewes,Andreas Nürnberger
Computational Intelligence in Intelligent Data Analysis Book PDF

Author : Christian Moewes,Andreas Nürnberger
Publisher : Springer
Page : 306 pages
File Size : 42,9 Mb
Release : 2012-08-23
Category : Technology & Engineering
ISBN : 9783642323782

Get Book

Computational Intelligence in Intelligent Data Analysis by Christian Moewes,Andreas Nürnberger Pdf

Complex systems and their phenomena are ubiquitous as they can be found in biology, finance, the humanities, management sciences, medicine, physics and similar fields. For many problems in these fields, there are no conventional ways to mathematically or analytically solve them completely at low cost. On the other hand, nature already solved many optimization problems efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them. Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. As only a few researchers in that field, Rudolf Kruse has contributed in many important ways to the understanding, modeling and application of computational intelligence methods. On occasion of his 60th birthday, a collection of original papers of leading researchers in the field of computational intelligence has been collected in this volume.

Intelligent Autonomous Systems

Dilip Kumar Pratihar
Intelligent Autonomous Systems Book PDF

Author : Dilip Kumar Pratihar
Publisher : Springer
Page : 266 pages
File Size : 45,8 Mb
Release : 2010-03-11
Category : Technology & Engineering
ISBN : 9783642116766

Get Book

Intelligent Autonomous Systems by Dilip Kumar Pratihar Pdf

Intelligent Autonomous Systems (IAS) are the physical embodiment of machine intelligence providing a core concept for integrating various advanced techno- gies with pattern recognition and learning. The basic philosophy of IAS research is to explore and understand the nature of intelligence in problems of perception, reasoning, learning and control in order to develop and implement the theory to engineered realization. In other words, the objective is to formulate various me- odologies for the development of robots which can operate autonomously and exhibit intelligent behavior by making appropriate decisions to perform the right task at the right time. Since IAS basically deals with the integration of machines, computing, sensing, and software to create intelligent systems capable of intera- ing with the complexities of the real world, advanced topics like soft computing, artificial life, evolutionary biology, and cognitive psychology have great promise in improving its intelligence and performance. Because of the inter-disciplinary character, the subject has several challenging issues for research, design and development covering a number of disciplines. These issues are further concerned with the development of both technology and methodology apart from various operations. The present research monograph titled “Intelligent Autonomous Systems: Foundations and Applications", edited by two renowned researchers, Professor Dilip K. Pratihar of IIT, Kharagpur, India and Professor Lakhmi C. Jain, Univ- sity of South Australia, Australia, provides a fairly representative cross-section of the activities that is going on all over the world in this area.

Intelligent and Soft Computing in Infrastructure Systems Engineering

Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine
Intelligent and Soft Computing in Infrastructure Systems Engineering Book PDF

Author : Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine
Publisher : Springer
Page : 325 pages
File Size : 55,6 Mb
Release : 2009-11-23
Category : Computers
ISBN : 9783642045868

Get Book

Intelligent and Soft Computing in Infrastructure Systems Engineering by Kasthurirangan Gopalakrishnan,Halil Ceylan,Nii O. Attoh-Okine Pdf

The term “soft computing” applies to variants of and combinations under the four broad categories of evolutionary computing, neural networks, fuzzy logic, and Bayesian statistics. Although each one has its separate strengths, the complem- tary nature of these techniques when used in combination (hybrid) makes them a powerful alternative for solving complex problems where conventional mat- matical methods fail. The use of intelligent and soft computing techniques in the field of geo- chanical and pavement engineering has steadily increased over the past decade owing to their ability to admit approximate reasoning, imprecision, uncertainty and partial truth. Since real-life infrastructure engineering decisions are made in ambiguous environments that require human expertise, the application of soft computing techniques has been an attractive option in pavement and geomecha- cal modeling. The objective of this carefully edited book is to highlight key recent advances made in the application of soft computing techniques in pavement and geo- chanical systems. Soft computing techniques discussed in this book include, but are not limited to: neural networks, evolutionary computing, swarm intelligence, probabilistic modeling, kernel machines, knowledge discovery and data mining, neuro-fuzzy systems and hybrid approaches. Highlighted application areas include infrastructure materials modeling, pavement analysis and design, rapid interpre- tion of nondestructive testing results, porous asphalt concrete distress modeling, model parameter identification, pavement engineering inversion problems, s- grade soils characterization, and backcalculation of pavement layer thickness and moduli.

Springer Handbook of Computational Intelligence

Janusz Kacprzyk,Witold Pedrycz
Springer Handbook of Computational Intelligence Book PDF

Author : Janusz Kacprzyk,Witold Pedrycz
Publisher : Springer
Page : 1634 pages
File Size : 55,9 Mb
Release : 2015-05-28
Category : Technology & Engineering
ISBN : 9783662435052

Get Book

Springer Handbook of Computational Intelligence by Janusz Kacprzyk,Witold Pedrycz Pdf

The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly expanding discipline of computational intelligence. This comprehensive handbook makes readers familiar with a broad spectrum of approaches to solve various problems in science and technology. Possible approaches include, for example, those being inspired by biology, living organisms and animate systems. Content is organized in seven parts: foundations; fuzzy logic; rough sets; evolutionary computation; neural networks; swarm intelligence and hybrid computational intelligence systems. Each Part is supervised by its own Part Editor(s) so that high-quality content as well as completeness are assured.

Advances in Intelligent Information Systems

Zbigniew W Ras,Li-Shiang Tsay
Advances in Intelligent Information Systems Book PDF

Author : Zbigniew W Ras,Li-Shiang Tsay
Publisher : Springer Science & Business Media
Page : 366 pages
File Size : 55,9 Mb
Release : 2010-02-04
Category : Computers
ISBN : 9783642051821

Get Book

Advances in Intelligent Information Systems by Zbigniew W Ras,Li-Shiang Tsay Pdf

Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.