Evolving Intelligent Systems

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Evolving Intelligent Systems

Author : Plamen Angelov,Dimitar P. Filev,Nik Kasabov
Publisher : John Wiley & Sons
Page : 464 pages
File Size : 49,5 Mb
Release : 2010-03-25
Category : Computers
ISBN : 0470569956

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Evolving Intelligent Systems by Plamen Angelov,Dimitar P. Filev,Nik Kasabov Pdf

From theory to techniques, the first all-in-one resource for EIS There is a clear demand in advanced process industries, defense, and Internet and communication (VoIP) applications for intelligent yet adaptive/evolving systems. Evolving Intelligent Systems is the first self- contained volume that covers this newly established concept in its entirety, from a systematic methodology to case studies to industrial applications. Featuring chapters written by leading world experts, it addresses the progress, trends, and major achievements in this emerging research field, with a strong emphasis on the balance between novel theoretical results and solutions and practical real-life applications. Explains the following fundamental approaches for developing evolving intelligent systems (EIS): the Hierarchical Prioritized Structure the Participatory Learning Paradigm the Evolving Takagi-Sugeno fuzzy systems (eTS+) the evolving clustering algorithm that stems from the well-known Gustafson-Kessel offline clustering algorithm Emphasizes the importance and increased interest in online processing of data streams Outlines the general strategy of using the fuzzy dynamic clustering as a foundation for evolvable information granulation Presents a methodology for developing robust and interpretable evolving fuzzy rule-based systems Introduces an integrated approach to incremental (real-time) feature extraction and classification Proposes a study on the stability of evolving neuro-fuzzy recurrent networks Details methodologies for evolving clustering and classification Reveals different applications of EIS to address real problems in areas of: evolving inferential sensors in chemical and petrochemical industry learning and recognition in robotics Features downloadable software resources Evolving Intelligent Systems is the one-stop reference guide for both theoretical and practical issues for computer scientists, engineers, researchers, applied mathematicians, machine learning and data mining experts, graduate students, and professionals.

Intelligent Systems

Author : Crina Grosan,Ajith Abraham
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 54,7 Mb
Release : 2011-07-29
Category : Technology & Engineering
ISBN : 9783642210044

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Intelligent Systems by Crina Grosan,Ajith Abraham Pdf

Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

Intelligent Systems: Theory, Research and Innovation in Applications

Author : Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk
Publisher : Springer Nature
Page : 367 pages
File Size : 48,8 Mb
Release : 2020-03-03
Category : Technology & Engineering
ISBN : 9783030387044

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Intelligent Systems: Theory, Research and Innovation in Applications by Ricardo Jardim-Goncalves,Vassil Sgurev,Vladimir Jotsov,Janusz Kacprzyk Pdf

From artificial neural net / game theory / semantic applications, to modeling tools, smart manufacturing systems, and data science research – this book offers a broad overview of modern intelligent methods and applications of machine learning, evolutionary computation, Industry 4.0 technologies, and autonomous agents leading to the Internet of Things and potentially a new technological revolution. Though chiefly intended for IT professionals, it will also help a broad range of users of future emerging technologies adapt to the new smart / intelligent wave. In separate chapters, the book highlights fourteen successful examples of recent advances in the rapidly evolving area of intelligent systems. Covering major European projects paving the way to a serious smart / intelligent collaboration, the chapters explore e.g. cyber-security issues, 3D digitization, aerial robots, and SMEs that have introduced cyber-physical production systems. Taken together, they offer unique insights into contemporary artificial intelligence and its potential for innovation.

Computationally Intelligent Systems and their Applications

Author : Jagdish Chand Bansal,Marcin Paprzycki,Monica Bianchini,Sanjoy Das
Publisher : Springer Nature
Page : 171 pages
File Size : 49,7 Mb
Release : 2021-04-24
Category : Technology & Engineering
ISBN : 9789811604072

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Computationally Intelligent Systems and their Applications by Jagdish Chand Bansal,Marcin Paprzycki,Monica Bianchini,Sanjoy Das Pdf

This book covers all core technologies like neural networks, fuzzy systems, and evolutionary computation and their applications in the systems. Computationally intelligent system is a new concept for advanced information processing. The objective of this system is to realize a new approach for analyzing and creating flexible information processing of sensing, learning, recognizing, and action taking. Computational intelligent is a part of artificial intelligence (AI) which includes the study of versatile components to empower or encourage savvy practices in intricate and evolving situations. The computationally intelligent system highly relies on numerical information supplied by manufacturers unlike AI.

Engineering Evolutionary Intelligent Systems

Author : Ajith Abraham,Crina Grosan,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 456 pages
File Size : 52,6 Mb
Release : 2008-01-03
Category : Computers
ISBN : 9783540753957

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Engineering Evolutionary Intelligent Systems by Ajith Abraham,Crina Grosan,Witold Pedrycz Pdf

This edited volume deals with the theoretical and methodological aspects, as well as various evolutionary algorithm applications to many real world problems originating from science, technology, business and commerce. It comprises 15 chapters including an introductory chapter which covers the fundamental definitions and outlines some important research challenges. Chapters were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed.

Evolutionary Computation with Intelligent Systems

Author : R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan
Publisher : CRC Press
Page : 316 pages
File Size : 54,8 Mb
Release : 2022-03-29
Category : Technology & Engineering
ISBN : 9781000550542

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Evolutionary Computation with Intelligent Systems by R.S. Chauhan,Kavita Taneja,Rajiv Khanduja,Vishal Kamra,Rahul Rattan Pdf

This book focuses on cutting-edge innovations and core theories, principles, and algorithms applicable to a wide area. Real-life applications, case studies, and examples are included along with emerging trends, design, and optimized solutions pivoting around the needs of Society 5.0. Evolutionary Computation with Intelligent Systems: A Multidisciplinary Approach to Society 5.0 provides a holistic view of evolutionary computation techniques including principles, procedures, and future applications with real-life examples. The book comprehensively explains evolutionary computation, design, principles, development trends, and optimization and describes how it can transform the operating context of the organization. It exemplifies the potential of evolutionary computation for the next generation and the role of cloud computing in shaping Society 5.0. It also provides insight into various platforms, paradigms, techniques, and tools used in diverse fields. This book appeals to a variety of readers such as academicians, researchers, research scholars, and postgraduates.

The Evolution of Intelligent Systems

Author : K. Richardson
Publisher : Springer
Page : 234 pages
File Size : 51,6 Mb
Release : 2010-10-20
Category : Social Science
ISBN : 9780230299245

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The Evolution of Intelligent Systems by K. Richardson Pdf

How could something as seemingly transcendental as the human mind have arisen from far simpler material beginnings? This book provides a comprehensive overview of evolution from pre-life and early life forms through increasing complexity to advanced cognitive systems using a new framework based on dynamic systems theory.

Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications

Author : Edwin Lughofer
Publisher : Springer Science & Business Media
Page : 467 pages
File Size : 48,8 Mb
Release : 2011-01-19
Category : Mathematics
ISBN : 9783642180866

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Evolving Fuzzy Systems - Methodologies, Advanced Concepts and Applications by Edwin Lughofer Pdf

In today’s real-world applications, there is an increasing demand of integrating new information and knowledge on-demand into model building processes to account for changing system dynamics, new operating conditions, varying human behaviors or environmental influences. Evolving fuzzy systems (EFS) are a powerful tool to cope with this requirement, as they are able to automatically adapt parameters, expand their structure and extend their memory on-the-fly, allowing on-line/real-time modeling. This book comprises several evolving fuzzy systems approaches which have emerged during the last decade and highlights the most important incremental learning methods used. The second part is dedicated to advanced concepts for increasing performance, robustness, process-safety and reliability, for enhancing user-friendliness and enlarging the field of applicability of EFS and for improving the interpretability and understandability of the evolved models. The third part underlines the usefulness and necessity of evolving fuzzy systems in several online real-world application scenarios, provides an outline of potential future applications and raises open problems and new challenges for the next generation evolving systems, including human-inspired evolving machines. The book includes basic principles, concepts, algorithms and theoretic results underlined by illustrations. It is dedicated to researchers from the field of fuzzy systems, machine learning, data mining and system identification as well as engineers and technicians who apply data-driven modeling techniques in real-world systems.

Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems

Author : Hiroshi Sato,Saori Iwanaga,Akira Ishii
Publisher : Springer Nature
Page : 296 pages
File Size : 53,6 Mb
Release : 2019-12-04
Category : Technology & Engineering
ISBN : 9783030374426

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Proceedings of the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems by Hiroshi Sato,Saori Iwanaga,Akira Ishii Pdf

This book presents selected papers from the 23rd Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES 2019), which was held in Tottori, Japan, on December 6–8, 2019. Today, various types of intelligent system can be found everywhere. However, none of them can be developed or understood from only one perspective. As such, this book collects unique ways of thinking about intelligent systems. It discusses evolutionary and complex adaptive systems, which have been useful approaches for tackling intelligent systems. It also examines the recent developments in the field of artificial intelligence that are driving research on intelligent systems. Addressing topics related to intelligent transport systems, machine learning and neural networks, data science and decision analytics, evolutionary and nature-inspired computation, and agents and complex systems, this book is a valuable resource for researchers and practitioners wanting to develop or understand intelligent and evolutionary systems.

Evolutionary Algorithms in Intelligent Systems

Author : Alfredo Milani,Arturo Carpi,Valentina Poggioni
Publisher : MDPI
Page : 144 pages
File Size : 47,6 Mb
Release : 2020-12-07
Category : Technology & Engineering
ISBN : 9783039436118

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Evolutionary Algorithms in Intelligent Systems by Alfredo Milani,Arturo Carpi,Valentina Poggioni Pdf

Evolutionary algorithms and metaheuristics are widely used to provide efficient and effective approximate solutions to computationally hard optimization problems. With the widespread use of intelligent systems in recent years, evolutionary algorithms have been applied, beyond classical optimization problems, to AI system parameter optimization and the design of artificial neural networks and feature selection in machine learning systems. This volume will present recent results of applications of the most successful metaheuristics, from differential evolution and particle swarm optimization to artificial neural networks, loT allocation, and multi-objective optimization problems. It will also provide a broad view of the role and the potential of evolutionary algorithms as service components in Al systems.

2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS)

Author : IEEE Staff
Publisher : Unknown
Page : 128 pages
File Size : 48,9 Mb
Release : 2016-05-23
Category : Electronic
ISBN : 1509025847

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2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS) by IEEE Staff Pdf

Evolving Systems, Adaptive Systems, Intelligent Systems, Machine Leaning, Artificial Intelligence, Applications

Future Directions for Intelligent Systems and Information Sciences

Author : Nikola Kasabov
Publisher : Physica
Page : 411 pages
File Size : 40,5 Mb
Release : 2013-11-11
Category : Computers
ISBN : 9783790818567

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Future Directions for Intelligent Systems and Information Sciences by Nikola Kasabov Pdf

This edited volume comprises invited chapters that cover five areas of the current and the future development of intelligent systems and information sciences. Half of the chapters were presented as invited talks at the Workshop "Future Directions for Intelligent Systems and Information Sciences" held in Dunedin, New Zealand, 22-23 November 1999 after the International Conference on Neuro-Information Processing (lCONIPI ANZIISI ANNES '99) held in Perth, Australia. In order to make this volume useful for researchers and academics in the broad area of information sciences I invited prominent researchers to submit materials and present their view about future paradigms, future trends and directions. Part I contains chapters on adaptive, evolving, learning systems. These are systems that learn in a life-long, on-line mode and in a changing environment. The first chapter, written by the editor, presents briefly the paradigm of Evolving Connectionist Systems (ECOS) and some of their applications. The chapter by Sung-Bae Cho presents the paradigms of artificial life and evolutionary programming in the context of several applications (mobile robots, adaptive agents of the WWW). The following three chapters written by R.Duro, J.Santos and J.A.Becerra (chapter 3), GCoghill . (chapter 4), Y.Maeda (chapter 5) introduce new techniques for building adaptive, learning robots.

Intelligent Systems

Author : L.S. Sterling
Publisher : Springer Science & Business Media
Page : 227 pages
File Size : 48,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461528364

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Intelligent Systems by L.S. Sterling Pdf

Published in honour of the 70th birthday of Yoh-Han Pao, George S. Dively Dis tinguished Professor of Engineering at Case Western Reserve University, Cleveland, Ohio, this festschrift embraces a remarkably diverse set of topics. Drawing from the fields of pattern recognition, engineering, artificial intelligence and artificial neural systems, it is a fitting testament to the extraordinary breadth of his professional in terests both in foundational research into the new technology of Intelligent Systems and ill the application of that evolving technology to the solution of hard engineering problems. In common with many scientists who build their reputations in one field before devoting their considerable energies and talents to another one, by 1972, the year in which I met him for the first time, Yoh-Han had made significant contributions to laser technology, in particular to the development of the highly accurate and stable lasers required for holographic recording purposes. In conventional holography, the information stored in a hologram produces a virtual image of the object charac terised by it. However, Yoh-Han became fascinated by the possiblity of driving the process hackwards, of using the hologram as an associative memory device enabling previously stored information to be retrieved on the basis of partial cues. It was this burgeoning interest which shaped his career for more than twenty years. Just prior to 1972, my colleagues Professor Christopher Longuet-Higgins and Dr.

Intelligent Systems and Technologies

Author : Junzo Watada
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 47,8 Mb
Release : 2009-06-17
Category : Mathematics
ISBN : 9783642018848

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Intelligent Systems and Technologies by Junzo Watada Pdf

Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Intelligent and Evolutionary Systems

Author : George Leu,Hemant Kumar Singh,Saber Elsayed
Publisher : Springer
Page : 510 pages
File Size : 45,7 Mb
Release : 2016-11-08
Category : Technology & Engineering
ISBN : 9783319490496

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Intelligent and Evolutionary Systems by George Leu,Hemant Kumar Singh,Saber Elsayed Pdf

Over the last two decades the field of Intelligent Systems delivered to human kind significant achievements, while also facing major transformations. 20 years ago, automation and knowledge-based AI were still the dominant paradigms fueling the efforts of both researchers and practitioners. Later, 10 years ago, statistical machine intelligence was on the rise, heavily supported by the digital computing, and led to the unprecedented advances in and dependence on digital technology. However, the resultant intelligent systems remained designer-based endeavors and thus, were limited in their true learning and development abilities. Today, the challenge is to have in place intelligent systems that can develop themselves on behalf of their creators, and gain abilities with no or limited supervision in the tasks they are meant to perform. Cognitive development systems, and the supporting cognitive computing are on the rise today, promising yet other significant achievements for the future of human kind. This book captures this unprecedented evolution of the field of intelligent systems, presenting a compilation of studies that covers all research directions in the field over the last two decades, offering to the reader a broad view over the field, while providing a solid foundation from which outstanding new ideas may emerge.