Computational Intelligence For Engineering Systems

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Intelligent Engineering Systems and Computational Cybernetics

Author : J.A. Tenreiro Machado,Béla Pátkai,Imre J. Rudas
Publisher : Springer Science & Business Media
Page : 438 pages
File Size : 47,6 Mb
Release : 2008-12-18
Category : Computers
ISBN : 9781402086786

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Intelligent Engineering Systems and Computational Cybernetics by J.A. Tenreiro Machado,Béla Pátkai,Imre J. Rudas Pdf

Engineering practice often has to deal with complex systems of multiple variable and multiple parameter models almost always with strong non-linear coupling. The conventional analytical techniques-based approaches for describing and predicting the behaviour of such systems in many cases are doomed to failure from the outset, even in the phase of the construction of a more or less appropriate mathematical model. These approaches normally are too categorical in the sense that in the name of “modelling accuracy” they try to describe all the structural details of the real physical system to be modelled. This can significantly increase the intricacy of the model and may result in a enormous computational burden without achieving considerable improvement of the solution. The best paradigm exemplifying this situation may be the classic perturbation theory: the less significant the achievable correction, the more work has to be invested to obtain it. A further important component of machine intelligence is a kind of “structural uniformity” giving room and possibility to model arbitrary particular details a priori not specified and unknown. This idea is similar to the ready-to-wear industry, which introduced products, which can be slightly modified later on in contrast to tailor-made creations aiming at maximum accuracy from the beginning. These subsequent corrections can be carried out by machines automatically. This “learning ability” is a key element of machine intelligence. The past decade confirmed that the view of typical components of the present soft computing as fuzzy logic, neural computing, evolutionary computation and probabilistic reasoning are of complementary nature and that the best results can be applied by their combined application. Today, the two complementary branches of Machine Intelligence, that is, Artificial Intelligence and Computational Intelligence serve as the basis of Intelligent Engineering Systems. The huge number of scientific results published in Journal and conference proceedings worldwide substantiates this statement. The present book contains several articles taking different viewpoints in the field of intelligent systems.

Computational Intelligence for Engineering Systems

Author : Ana Madureira,Judite Ferreira,Zita Vale
Publisher : Springer Science & Business Media
Page : 202 pages
File Size : 48,8 Mb
Release : 2010-11-23
Category : Technology & Engineering
ISBN : 9789400700932

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Computational Intelligence for Engineering Systems by Ana Madureira,Judite Ferreira,Zita Vale Pdf

Computational Intelligence for Engineering Systems provides an overview and original analysis of new developments and advances in several areas of computational intelligence. Computational Intelligence have become the road-map for engineers to develop and analyze novel techniques to solve problems in basic sciences (such as physics, chemistry and biology) and engineering, environmental, life and social sciences. The contributions are written by international experts, who provide up-to-date aspects of the topics discussed and present recent, original insights into their own experience in these fields. The authors also include methods that apply to diverse fields such as manufacturing, tourism, power systems, computer science, robotics, chemistry, and biology. Topics include: Simulation and evolution of real and artificial life forms; Self-organization; Models of communication and social behaviors; Emergent collective behaviors and swarm intelligence; Adaptive, complex and biologically inspired systems; Power Systems ; Web-based Applications; Knowledge discovery; Intelligent Tutoring Systems ; Decision support Systems; Intelligent Tutoring Systems.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Author : Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das
Publisher : Springer
Page : 735 pages
File Size : 48,7 Mb
Release : 2018-03-19
Category : Technology & Engineering
ISBN : 9789811078682

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Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,Paruchuri Chandra Babu Naidu,Ramazan Bayindir,Swagatam Das Pdf

The book is a collection of high-quality peer-reviewed research papers presented in the International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES 2017). The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academia and industry have presented their original work and ideas, information, techniques and applications in the field of communication, computing and power technologies.

Advances in Knowledge-Based and Intelligent Information and Engineering Systems

Author : Manuel Graña
Publisher : IOS Press
Page : 2307 pages
File Size : 50,8 Mb
Release : 2012
Category : Computers
ISBN : 9781614991045

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Advances in Knowledge-Based and Intelligent Information and Engineering Systems by Manuel Graña Pdf

In this 2012 edition of Advances in Knowledge-Based and Intelligent Information and Engineering Systems the latest innovations and advances in Intelligent Systems and related areas are presented by leading experts from all over the world. The 228 papers that are included cover a wide range of topics. One emphasis is on Information Processing, which has become a pervasive phenomenon in our civilization. While the majority of Information Processing is becoming intelligent in a very broad sense, major research in Semantics, Artificial Intelligence and Knowledge Engineering supports the domain specific applications that are becoming more and more present in our everyday living. Ontologies play a major role in the development of Knowledge Engineering in various domains, from Semantic Web down to the design of specific Decision Support Systems. Research on Ontologies and their applications is a highly active front of current Computational Intelligence science that is addressed here. Other subjects in this volume are modern Machine Learning, Lattice Computing and Mathematical Morphology.The wide scope and high quality of these contributions clearly show that knowledge engineering is a continuous living and evolving set of technologies aimed at improving the design and understanding of systems and their relations with humans.

Computational Intelligence Systems in Industrial Engineering

Author : Cengiz Kahraman
Publisher : Springer Science & Business Media
Page : 683 pages
File Size : 49,8 Mb
Release : 2012-11-05
Category : Technology & Engineering
ISBN : 9789491216770

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Computational Intelligence Systems in Industrial Engineering by Cengiz Kahraman Pdf

Industrial engineering is a branch of engineering dealing with the optimization of complex processes or systems. It is concerned with the development, improvement, implementation and evaluation of production and service systems. Computational Intelligence Systems find a wide application area in industrial engineering: neural networks in forecasting, fuzzy sets in capital budgeting, ant colony optimization in scheduling, Simulated Annealing in optimization, etc. This book will include most of the application areas of industrial engineering through these computational intelligence systems. In the literature, there is no book including many real and practical applications of Computational Intelligence Systems from the point of view of Industrial Engineering. Every chapter will include explanatory and didactic applications. It is aimed that the book will be a main source for MSc and PhD students.

Computational Intelligence in Emerging Technologies for Engineering Applications

Author : Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay
Publisher : Springer Nature
Page : 301 pages
File Size : 54,6 Mb
Release : 2020-02-14
Category : Technology & Engineering
ISBN : 9783030344092

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Computational Intelligence in Emerging Technologies for Engineering Applications by Orestes Llanes Santiago,Carlos Cruz Corona,Antônio José Silva Neto,José Luis Verdegay Pdf

This book explores applications of computational intelligence in key and emerging fields of engineering, especially with regard to condition monitoring and fault diagnosis, inverse problems, decision support systems and optimization. These applications can be beneficial in a broad range of contexts, including: water distribution networks, manufacturing systems, production and storage of electrical energy, heat transfer, acoustic levitation, uncertainty and robustness of infinite-dimensional objects, fatigue failure prediction, autonomous navigation, nanotechnology, and the analysis of technological development indexes. All applications, mathematical and computational tools, and original results are presented using rigorous mathematical procedures. Further, the book gathers contributions by respected experts from 22 different research centers and eight countries: Brazil, Cuba, France, Hungary, India, Japan, Romania and Spain. The book is intended for use in graduate courses on applied computation, applied mathematics, and engineering, where tools like computational intelligence and numerical methods are applied to the solution of real-world problems in emerging areas of engineering.

Computational Intelligence and Efficiency in Engineering Systems

Author : Grzegorz Borowik,Zenon Chaczko,Witold Jacak,Tadeusz Łuba
Publisher : Unknown
Page : 128 pages
File Size : 51,5 Mb
Release : 2015
Category : Electronic
ISBN : 3319157213

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Computational Intelligence and Efficiency in Engineering Systems by Grzegorz Borowik,Zenon Chaczko,Witold Jacak,Tadeusz Łuba Pdf

This carefully edited and reviewed volume addresses the increasingly popular demand for seeking more clarity in the data that we are immersed in. It offers excellent examples of the intelligent ubiquitous computation, as well as recent advances in systems engineering and informatics. The content represents state-of-the-art foundations for researchers in the domain of modern computation, computer science, system engineering and networking, with many examples that are set in industrial application context. The book includes the carefully selected best contributions to APCASE 2014, the 2nd Asia-Pacific Conference on Computer Aided System Engineering, held February 10-12, 2014 in South Kuta, Bali, Indonesia. The book consists of four main parts that cover data-oriented engineering science research in a wide range of applications: computational models and knowledge discovery; communications networks and cloud computing; computer-based systems; and data-oriented and software-intensive systems.

Computational Intelligence in Power Engineering

Author : Ajith Abraham,Swagatam Das
Publisher : Springer
Page : 384 pages
File Size : 42,7 Mb
Release : 2010-09-08
Category : Technology & Engineering
ISBN : 9783642140136

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Computational Intelligence in Power Engineering by Ajith Abraham,Swagatam Das Pdf

Computational Intelligence (CI) is one of the most important powerful tools for research in the diverse fields of engineering sciences ranging from traditional fields of civil, mechanical engineering to vast sections of electrical, electronics and computer engineering and above all the biological and pharmaceutical sciences. The existing field has its origin in the functioning of the human brain in processing information, recognizing pattern, learning from observations and experiments, storing and retrieving information from memory, etc. In particular, the power industry being on the verge of epoch changing due to deregulation, the power engineers require Computational intelligence tools for proper planning, operation and control of the power system. Most of the CI tools are suitably formulated as some sort of optimization or decision making problems. These CI techniques provide the power utilities with innovative solutions for efficient analysis, optimal operation and control and intelligent decision making. This edited volume deals with different CI techniques for solving real world Power Industry problems. The technical contents will be extremely helpful for the researchers as well as the practicing engineers in the power industry.

Artificial Intelligence and Evolutionary Computations in Engineering Systems

Author : Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi
Publisher : Springer Nature
Page : 781 pages
File Size : 50,9 Mb
Release : 2020-02-08
Category : Technology & Engineering
ISBN : 9789811501999

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Artificial Intelligence and Evolutionary Computations in Engineering Systems by Subhransu Sekhar Dash,C. Lakshmi,Swagatam Das,Bijaya Ketan Panigrahi Pdf

This book gathers selected papers presented at the 4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the SRM Institute of Science and Technology, Kattankulathur, Chennai, India, from 11 to 13 April 2019. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.

Artificial Intelligence and Evolutionary Algorithms in Engineering Systems

Author : L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi
Publisher : Springer
Page : 862 pages
File Size : 48,9 Mb
Release : 2014-11-01
Category : Technology & Engineering
ISBN : 9788132221265

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Artificial Intelligence and Evolutionary Algorithms in Engineering Systems by L. Padma Suresh,Subhransu Sekhar Dash,Bijaya Ketan Panigrahi Pdf

The book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies.

Systems Engineering and Artificial Intelligence

Author : William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott
Publisher : Springer Nature
Page : 566 pages
File Size : 52,6 Mb
Release : 2021-11-02
Category : Computers
ISBN : 9783030772833

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Systems Engineering and Artificial Intelligence by William F. Lawless,Ranjeev Mittu,Donald A. Sofge,Thomas Shortell,Thomas A. McDermott Pdf

This book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.

Computational Intelligence in Software Engineering

Author : Witold Pedrycz,James F. Peters
Publisher : World Scientific
Page : 504 pages
File Size : 48,8 Mb
Release : 1998
Category : Computers
ISBN : 9810235038

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Computational Intelligence in Software Engineering by Witold Pedrycz,James F. Peters Pdf

This unique volume is the first publication on software engineering and computational intelligence (CI) viewed as a synergistic interplay of neurocomputing, granular computation (including fuzzy sets and rough sets), and evolutionary methods. It presents a unified view of CI in the context of software engineering. The book addresses a number of crucial issues: what is CI, what role does it play in software development, how are CI elements built into successive phases of the software life cycle, and what is the role played by CI in quantifying fundamental features of software artifacts? With contributions from leading researchers and practitioners, the book provides the reader with a wealth of new concepts and approaches, complete algorithms, in-depth case studies, and thought-provoking exercises. The topics coverage include neurocomputing, granular as well as evolutionary computing, object-oriented analysis and design in software engineering. There is also an extensive bibliography.

Fundamentals of Computational Intelligence

Author : James M. Keller,Derong Liu,David B. Fogel
Publisher : John Wiley & Sons
Page : 378 pages
File Size : 51,6 Mb
Release : 2016-07-13
Category : Technology & Engineering
ISBN : 9781119214366

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Fundamentals of Computational Intelligence by James M. Keller,Derong Liu,David B. Fogel Pdf

Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.

Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare

Author : Pankaj Srivastava,S. S. Thakur,Georgia Irina Oros,Ali A. AlJarrah,Vichian Laohakosol
Publisher : Springer
Page : 0 pages
File Size : 46,9 Mb
Release : 2022-10-21
Category : Technology & Engineering
ISBN : 9811638098

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Mathematical, Computational Intelligence and Engineering Approaches for Tourism, Agriculture and Healthcare by Pankaj Srivastava,S. S. Thakur,Georgia Irina Oros,Ali A. AlJarrah,Vichian Laohakosol Pdf

This book is a collection of selected papers presented at the 17th FAI International Conference on Engineering, Mathematical and Computational Intelligence (ICEMCI 2019), held at Jabalpur Engineering College, India, from 21–23 December 2019. This book discusses mathematical, computational intelligence and engineering approaches for tourism, agriculture and health care. It is a unique combination of a wide spectrum of topics, such as tourism destination ranking, medical diagnosis-based intelligent systems, drivers for hotel objectives, irrigation systems and more, which are discussed by using fuzzy, statistical and neural network tools. This book will be valuable to faculty members, postgraduate students, research scholars as well as readers from the industrial sector.