Foundations Of Computational Intelligence Volume 5

Download Foundations Of Computational Intelligence Volume 5 full books in PDF, epub, and Kindle. Read online Foundations Of Computational Intelligence Volume 5 ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Foundations of Computational Intelligence Volume 5

Author : Ajith Abraham
Publisher : Springer
ISBN 13 : 3642015360
Total Pages : 376 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Computational Intelligence Volume 5 by : Ajith Abraham

Download or read book Foundations of Computational Intelligence Volume 5 written by Ajith Abraham and published by Springer. This book was released on 2009-07-11 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 5: Function Approximation and Classification Approximation theory is that area of analysis which is concerned with the ability to approximate functions by simpler and more easily calculated functions. It is an area which, like many other fields of analysis, has its primary roots in the mat- matics. The need for function approximation and classification arises in many branches of applied mathematics, computer science and data mining in particular. This edited volume comprises of 14 chapters, including several overview Ch- ters, which provides an up-to-date and state-of-the art research covering the theory and algorithms of function approximation and classification. Besides research ar- cles and expository papers on theory and algorithms of function approximation and classification, papers on numerical experiments and real world applications were also encouraged. The Volume is divided into 2 parts: Part-I: Function Approximation and Classification – Theoretical Foundations Part-II: Function Approximation and Classification – Success Stories and Real World Applications Part I on Function Approximation and Classification – Theoretical Foundations contains six chapters that describe several approaches Feature Selection, the use Decomposition of Correlation Integral, Some Issues on Extensions of Information and Dynamic Information System and a Probabilistic Approach to the Evaluation and Combination of Preferences Chapter 1 “Feature Selection for Partial Least Square Based Dimension Red- tion” by Li and Zeng investigate a systematic feature reduction framework by combing dimension reduction with feature selection. To evaluate the proposed framework authors used four typical data sets.

Fundamentals of Computational Intelligence

Author : James M. Keller
Publisher : John Wiley & Sons
ISBN 13 : 111921436X
Total Pages : 378 pages
Book Rating : 4.1/5 (192 download)

DOWNLOAD NOW!

Book Synopsis Fundamentals of Computational Intelligence by : James M. Keller

Download or read book Fundamentals of Computational Intelligence written by James M. Keller and published by John Wiley & Sons. This book was released on 2016-07-13 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Foundations of Computational Intelligence

Author : Ajith Abraham
Publisher : Springer Science & Business Media
ISBN 13 : 3642010903
Total Pages : 397 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Computational Intelligence by : Ajith Abraham

Download or read book Foundations of Computational Intelligence written by Ajith Abraham and published by Springer Science & Business Media. This book was released on 2009-04-27 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.

Foundations of Computational Intelligence Volume 2

Author : Aboul-Ella Hassanien
Publisher : Springer Science & Business Media
ISBN 13 : 3642015328
Total Pages : 313 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Foundations of Computational Intelligence Volume 2 by : Aboul-Ella Hassanien

Download or read book Foundations of Computational Intelligence Volume 2 written by Aboul-Ella Hassanien and published by Springer Science & Business Media. This book was released on 2009-06-15 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Foundations of Computational Intelligence Volume 2: Approximation Reasoning: Theoretical Foundations and Applications Human reasoning usually is very approximate and involves various types of - certainties. Approximate reasoning is the computational modelling of any part of the process used by humans to reason about natural phenomena or to solve real world problems. The scope of this book includes fuzzy sets, Dempster-Shafer theory, multi-valued logic, probability, random sets, and rough set, near set and hybrid intelligent systems. Besides research articles and expository papers on t- ory and algorithms of approximation reasoning, papers on numerical experiments and real world applications were also encouraged. This Volume comprises of 12 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Intelligence techniques for - proximation reasoning. The Volume is divided into 2 parts: Part-I: Approximate Reasoning – Theoretical Foundations Part-II: Approximate Reasoning – Success Stories and Real World Applications Part I on Approximate Reasoning – Theoretical Foundations contains four ch- ters that describe several approaches of fuzzy and Para consistent annotated logic approximation reasoning. In Chapter 1, “Fuzzy Sets, Near Sets, and Rough Sets for Your Computational Intelligence Toolbox” by Peters considers how a user might utilize fuzzy sets, near sets, and rough sets, taken separately or taken together in hybridizations as part of a computational intelligence toolbox. In multi-criteria decision making, it is necessary to aggregate (combine) utility values corresponding to several criteria (parameters).

Hybrid Self-Organizing Modeling Systems

Author : Godfrey C Onwubolu
Publisher : Springer Science & Business Media
ISBN 13 : 3642015298
Total Pages : 297 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Hybrid Self-Organizing Modeling Systems by : Godfrey C Onwubolu

Download or read book Hybrid Self-Organizing Modeling Systems written by Godfrey C Onwubolu and published by Springer Science & Business Media. This book was released on 2009-06-15 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Author : Roger Lee
Publisher : Springer
ISBN 13 : 3642012035
Total Pages : 284 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing by : Roger Lee

Download or read book Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing written by Roger Lee and published by Springer. This book was released on 2009-05-02 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of the 10th ACIS International Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD rd 2009), held in Daegu, Korea on May 27–29, 2009, the 3 International Workshop st on e-Activity (IWEA 2009) and the 1 International Workshop on Enterprise Architecture Challenges and Responses (WEACR 2009) is to aim at bringing together researchers and scientist, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 24 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In chapter 1, Igor Crk and Chris Gniady propose a network-aware energy m- agement mechanism that provides a low-cost solution that can significantly reduce energy consumption in the entire system while maintaining responsiveness of local interactive workloads. Their dynamic mechanisms reduce the decision delay before the disk is spun-up, reduce the number of erroneous spin-ups in local wo- stations, decrease the network bandwidth, and reduce the energy consumption of individual drives. In chapter 2, Yoshihito Saito and Tokuro Matsuo describe a task allocation mechanism and its performance concerning with software developing. They run simulations and discuss the results in terms of effective strategies of task allocation.

Recent Advances in Decision Making

Author : Elisabeth Rakus-Andersson
Publisher : Springer Science & Business Media
ISBN 13 : 3642021867
Total Pages : 184 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Recent Advances in Decision Making by : Elisabeth Rakus-Andersson

Download or read book Recent Advances in Decision Making written by Elisabeth Rakus-Andersson and published by Springer Science & Business Media. This book was released on 2009-08-04 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intelligent paradigms are increasingly finding their ways in the design and development of decision support systems. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems in decision making - A new method of ranking intuitionistic fuzzy alternatives - Fuzzy rule base model identification by bacterial memetic algorithms - Discovering associations with uncertainty from large databases - Dempster-Shafer structures, monotonic set measures and decision making - Interpretable decision-making models - A general methodology for managerial decision making - Supporting decision making via verbalization of data analysis results using linguistic data summaries - Computational intelligence in medical decisions making. This book is directed to the researchers, graduate students, professors, decision makers and to those who are interested to investigate intelligent paradigms in decision making.

Computer and Information Science 2009

Author : Roger Lee
Publisher : Springer
ISBN 13 : 3642012094
Total Pages : 304 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Computer and Information Science 2009 by : Roger Lee

Download or read book Computer and Information Science 2009 written by Roger Lee and published by Springer. This book was released on 2009-05-01 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume includes the best papers of the IEEE/ACIS International Conference on Computer and Information Science, ICIS 2009, held on June 2009 in Shanghai, China.

Complex Networks

Author : Ronaldo Menezes
Publisher : Springer Science & Business Media
ISBN 13 : 3642012051
Total Pages : 232 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Complex Networks by : Ronaldo Menezes

Download or read book Complex Networks written by Ronaldo Menezes and published by Springer Science & Business Media. This book was released on 2009-08-11 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though the reductionist approachto biology and medicine has led to several imp- tant advances, further progresses with respect to the remaining challenges require integration of representation, characterization and modeling of the studied systems along a wide range of spatial and time scales. Such an approach, intrinsically - lated to systems biology, is poised to ultimately turning biology into a more precise and synthetic discipline, paving the way to extensive preventive and regenerative medicine [1], drug discovery [20] and treatment optimization [24]. A particularly appealing and effective approach to addressing the complexity of interactions inherent to the biological systems is provided by the new area of c- plex networks [34, 30, 8, 13, 12]. Basically, it is an extension of graph theory [10], focusing on the modeling, representation, characterization, analysis and simulation ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C- plex networks concepts and methods have been used to study disease [17], tr- scription networks [5, 6, 4], protein-protein networks [22, 36, 16, 39], metabolic networks [23] and anatomy [40].

Biologically-Inspired Optimisation Methods

Author : Andrew Lewis
Publisher : Springer
ISBN 13 : 3642012620
Total Pages : 360 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Biologically-Inspired Optimisation Methods by : Andrew Lewis

Download or read book Biologically-Inspired Optimisation Methods written by Andrew Lewis and published by Springer. This book was released on 2009-05-12 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the latest theories, applications and techniques in Biologically-Inspired Optimisation Methods. Many chapters derive from studies presented at workshops and international conferences on e-Science, Grid Computing and Evolutionary computation.

Computational Intelligence

Author : Russell C. Eberhart
Publisher : Elsevier
ISBN 13 : 0080553834
Total Pages : 496 pages
Book Rating : 4.0/5 (85 download)

DOWNLOAD NOW!

Book Synopsis Computational Intelligence by : Russell C. Eberhart

Download or read book Computational Intelligence written by Russell C. Eberhart and published by Elsevier. This book was released on 2011-04-18 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation Details the metrics and analytical tools needed to assess the performance of computational intelligence tools Concludes with a series of case studies that illustrate a wide range of successful applications Presents code examples in C and C++ Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study

Networked Knowledge - Networked Media

Author : Tassilo Pellegrini
Publisher : Springer Science & Business Media
ISBN 13 : 3642021832
Total Pages : 340 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Networked Knowledge - Networked Media by : Tassilo Pellegrini

Download or read book Networked Knowledge - Networked Media written by Tassilo Pellegrini and published by Springer Science & Business Media. This book was released on 2009-07-21 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores the increasing convergence of Social Media and Semantic Web technologies. It offers up-to-date contributions that illustrate various approaches to this young and emerging technology area.

Opportunities and Challenges for Next-Generation Applied Intelligence

Author : Been-Chian Chien
Publisher : Springer Science & Business Media
ISBN 13 : 3540928138
Total Pages : 341 pages
Book Rating : 4.5/5 (49 download)

DOWNLOAD NOW!

Book Synopsis Opportunities and Challenges for Next-Generation Applied Intelligence by : Been-Chian Chien

Download or read book Opportunities and Challenges for Next-Generation Applied Intelligence written by Been-Chian Chien and published by Springer Science & Business Media. This book was released on 2009-05-19 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: The term “Artificial Intelligence” has been used since 1956 and has become a very popular research field. Generally, it is the study of the computations that enable a system to perceive, reason and act. In the early days, it was expected to achieve the same intelligent behavior as a human, but found impossible at last. Its goal was thus revised to design and use of intelligent methods to make systems more ef- cient at solving problems. The term “Applied Intelligence” was thus created to represent its practicality. It emphasizes applications of applied intelligent systems to solve real-life problems in all areas including engineering, science, industry, automation, robotics, business, finance, medicine, bio-medicine, bio-informatics, cyberspace, and man-machine interactions. To endow the intelligent behavior of a system, many useful and interesting techniques have been developed. Some of them are even borrowed from the na- ral observation and biological phenomenon. Neural networks and evolutionary computation are two examples of them. Besides, some other heuristic approaches like data mining, adaptive control, intelligent manufacturing, autonomous agents, bio-informatics, reasoning, computer vision, decision support systems, expert s- tems, fuzzy logic, robots, intelligent interfaces, internet technology, planning and scheduling, are also commonly used in applied intelligence.

Biomedical Data and Applications

Author : Amandeep S. Sidhu
Publisher : Springer
ISBN 13 : 364202193X
Total Pages : 344 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Biomedical Data and Applications by : Amandeep S. Sidhu

Download or read book Biomedical Data and Applications written by Amandeep S. Sidhu and published by Springer. This book was released on 2009-07-09 with total page 344 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful guide learning state-of-the-art development in biomedical data management, data-intensive bioinformatics systems, and other miscellaneous biological database applications. The book addresses various topics in bioinformatics with varying degrees of balance between biomedical data models and their real-world applications.

Genetic Algorithms for Applied CAD Problems

Author : Viktor M. Kureichik
Publisher : Springer Science & Business Media
ISBN 13 : 3540852808
Total Pages : 249 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Genetic Algorithms for Applied CAD Problems by : Viktor M. Kureichik

Download or read book Genetic Algorithms for Applied CAD Problems written by Viktor M. Kureichik and published by Springer Science & Business Media. This book was released on 2009-07-21 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: New perspective technologies of genetic search and evolution simulation represent the kernel of this book. The authors wanted to show how these technologies are used for practical problems solution. This monograph is devoted to specialists of CAD, intellectual information technologies in science, biology, economics, sociology and others. It may be used by post-graduate students and students of specialties connected to the systems theory and system analysis methods, information science, optimization methods, operations investigation and solution-making.

Advances in Computational Intelligence

Author : Joan Cabestany
Publisher : Springer Science & Business Media
ISBN 13 : 3642215009
Total Pages : 601 pages
Book Rating : 4.6/5 (422 download)

DOWNLOAD NOW!

Book Synopsis Advances in Computational Intelligence by : Joan Cabestany

Download or read book Advances in Computational Intelligence written by Joan Cabestany and published by Springer Science & Business Media. This book was released on 2011-05-30 with total page 601 pages. Available in PDF, EPUB and Kindle. Book excerpt: This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The first volume includes 69 papers organized in topical sections on mathematical and theoretical methods in computational intelligence; learning and adaptation; bio-inspired systems and neuro-engineering; hybrid intelligent systems; applications of computational intelligence; new applications of brain-computer interfaces; optimization algorithms in graphic processing units; computing languages with bio-inspired devices and multi-agent systems; computational intelligence in multimedia processing; and biologically plausible spiking neural processing.

Evolutionary Image Analysis and Signal Processing

Author : Stefano Cagnoni
Publisher : Springer
ISBN 13 : 3642016367
Total Pages : 204 pages
Book Rating : 4.6/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Evolutionary Image Analysis and Signal Processing by : Stefano Cagnoni

Download or read book Evolutionary Image Analysis and Signal Processing written by Stefano Cagnoni and published by Springer. This book was released on 2009-07-09 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt: The publication of this book on evolutionaryImage Analysis and Signal P- cessing (IASP) has two main goals. The ?rst, occasional one is to celebrate the 10th edition of EvoIASP, the workshop which has been the only event speci?cally dedicated to this topic since 1999. The second, more important one is to give an overview of the opportunities o?ered by Evolutionary C- putation (EC) techniques to computer vision,pattern recognition,and image and signal processing. It is not possible to celebrate EvoIASP properly without ?rst ackno- edging EvoNET, the EU-funded network of excellence, which has made it possible for Europe to build a strong European research community on EC. Thanks to the success of the ?rst, pioneering event organized by EvoNET, held in 1998 in Paris, it was possible to realize that not only was EC a f- tile ground for basic research but also there were several application ?elds to which EC techniques could o?er a valuable contribution. That was how the ideaofcreatingasingleevent,EvoWorkshops,outofacollectionofworkshops dedicated to applications of EC, was born. Amongst the possible application ?elds for EC, IASP was selected almost accidentally, due to the occasional presence, within EvoNET, of less than a handful of researchers who were interested in it. I would lie if I stated that the event was a great success since its very start, but it was successful enough to survive healthily for a couple of years, before reaching its present size, relevance, and popularity.