Knowledge Based Intelligent Information And Engineering Systems 2

Author: Mircea Gh. Negoita
Publisher: Springer Science & Business Media
ISBN: 3540232060
Size: 27.76 MB
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Knowledge Based Intelligent Information And Engineering Systems 2 from the Author: Mircea Gh. Negoita. The three-volume set LNAI 3213, LNAI 3214, and LNAI 3215 constitutes the refereed proceedings of the 8th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2004, held in Wellington, New Zealand in September 2004.The over 450 papers presented were carefully reviewed and selected from numerous submissions. The papers present a wealth of original research results from the field of intelligent information processing in the broadest sense; among the areas covered are artificial intelligence, computational intelligence, cognitive technologies, soft computing, data mining, knowledge processing, various new paradigms in biologically inspired computing, and applications in various domains like bioinformatics, finance, signal processing etc.

Classification And Modeling With Linguistic Information Granules

Author: Hisao Ishibuchi
Publisher: Springer Science & Business Media
ISBN: 3540268758
Size: 26.62 MB
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Classification And Modeling With Linguistic Information Granules from the Author: Hisao Ishibuchi. Many approaches have already been proposed for classification and modeling in the literature. These approaches are usually based on mathematical mod els. Computer systems can easily handle mathematical models even when they are complicated and nonlinear (e.g., neural networks). On the other hand, it is not always easy for human users to intuitively understand mathe matical models even when they are simple and linear. This is because human information processing is based mainly on linguistic knowledge while com puter systems are designed to handle symbolic and numerical information. A large part of our daily communication is based on words. We learn from various media such as books, newspapers, magazines, TV, and the Inter net through words. We also communicate with others through words. While words play a central role in human information processing, linguistic models are not often used in the fields of classification and modeling. If there is no goal other than the maximization of accuracy in classification and model ing, mathematical models may always be preferred to linguistic models. On the other hand, linguistic models may be chosen if emphasis is placed on interpretability.

Sport Education Seasons

Author: Sean M. Bulger
Publisher: Human Kinetics
ISBN: 9780736046398
Size: 19.44 MB
Format: PDF, ePub
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Sport Education Seasons from the Author: Sean M. Bulger. "Finally, a sport resource that offers in-depth, complete seasons applying the sport education model of teaching and coaching. This book and CD-ROM package includes 68 complete sessions and lessons for three complete seasons - basketball, soccer, and fitness education - that you can use in their entirety or choose lessons to reinforce your existing program. It also includes more than 150 reproducibles in the book and 400 on the CD-ROM."--BOOK JACKET.

Evolutionary Algorithms In Engineering Applications

Author: Dipankar Dasgupta
Publisher: Springer Science & Business Media
ISBN: 9783540620211
Size: 47.30 MB
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Evolutionary Algorithms In Engineering Applications from the Author: Dipankar Dasgupta. Evolutionary algorithms are simple, easy to interface, and easy to extend. This volume discusses how they can be applied in different fields of engineering.

Recent Advances In The Theory And Application Of Fitness Landscapes

Author: Hendrik Richter
Publisher: Springer Science & Business Media
ISBN: 3642418880
Size: 42.36 MB
Format: PDF, ePub, Docs
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Recent Advances In The Theory And Application Of Fitness Landscapes from the Author: Hendrik Richter. This book is concerned with recent advances in fitness landscapes. The concept of fitness landscapes originates from theoretical biology and refers to a framework for analysing and visualizing the relationships between genotypes, phenotypes and fitness. These relationships lay at the centre of attempts to mathematically describe evolutionary processes and evolutionary dynamics. The book addresses recent advances in the understanding of fitness landscapes in evolutionary biology and evolutionary computation. In the volume, experts in the field of fitness landscapes present these findings in an integrated way to make it accessible to a number of audiences: senior undergraduate and graduate students in computer science, theoretical biology, physics, applied mathematics and engineering, but also researcher looking for a reference or/and entry point into using fitness landscapes for analysing algorithms. Also practitioners wanting to employ fitness landscape techniques for evaluating bio- and nature-inspired computing algorithms can find valuable material in the book. For teaching proposes, the book could also be used as a reference handbook.

Being Fluent With Information Technology

Author: National Research Council
Publisher: National Academies Press
ISBN: 9780309173131
Size: 72.73 MB
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Being Fluent With Information Technology from the Author: National Research Council. Computers, communications, digital information, softwareâ€"the constituents of the information ageâ€"are everywhere. Being computer literate, that is technically competent in two or three of today’s software applications, is not enough anymore. Individuals who want to realize the potential value of information technology (IT) in their everyday lives need to be computer fluentâ€"able to use IT effectively today and to adapt to changes tomorrow. Being Fluent with Information Technology sets the standard for what everyone should know about IT in order to use it effectively now and in the future. It explores three kinds of knowledgeâ€"intellectual capabilities, foundational concepts, and skillsâ€"that are essential for fluency with IT. The book presents detailed descriptions and examples of current skills and timeless concepts and capabilities, which will be useful to individuals who use IT and to the instructors who teach them.

Foundations Of Genetic Algorithms 1993 Foga 2

Author: FOGA
Publisher: Morgan Kaufmann
ISBN: 0080948324
Size: 21.48 MB
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Foundations Of Genetic Algorithms 1993 Foga 2 from the Author: FOGA. Foundations of Genetic Algorithms, Volume 2 provides insight of theoretical work in genetic algorithms. This book provides a general understanding of a canonical genetic algorithm. Organized into six parts encompassing 19 chapters, this volume begins with an overview of genetic algorithms in the broader adaptive systems context. This text then reviews some results in mathematical genetics that use probability distributions to characterize the effects of recombination on multiple loci in the absence of selection. Other chapters examine the static building block hypothesis (SBBH), which is the underlying assumption used to define deception. This book discusses as well the effect of noise on the quality of convergence of genetic algorithms. The final chapter deals with the primary goal in machine learning and artificial intelligence, which is to dynamically and automatically decompose problems into simpler problems to facilitate their solution. This book is a valuable resource for theorists and genetic algorithm researchers.

Transactions On Computational Science Ii

Author: Yingxu Wang
Publisher: Springer
ISBN: 3540875638
Size: 75.65 MB
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Transactions On Computational Science Ii from the Author: Yingxu Wang. The denotational and expressive needs in cognitive informatics, computational intelligence, software engineering, and knowledge engineering have led to the development of new forms of mathematics collectively known as denotational mathematics. Denotational mathematics is a category of mathematical structures that formalize rigorous expressions and long-chain inferences of system compositions and behaviors with abstract concepts, complex relations, and dynamic processes. Typical paradigms of denotational mathematics are concept algebra, system algebra, Real-Time Process Algebra (RTPA), Visual Semantic Algebra (VSA), fuzzy logic, and rough sets. A wide range of applications of denotational mathematics have been identified in many modern science and engineering disciplines that deal with complex and intricate mathematical entities and structures beyond numbers, Boolean variables, and traditional sets. This issue of Springer’s Transactions on Computational Science on Denotational Mathematics for Computational Intelligence presents a snapshot of current research on denotational mathematics and its engineering applications. The volume includes selected and extended papers from two international conferences, namely IEEE ICCI 2006 (on Cognitive Informatics) and RSKT 2006 (on Rough Sets and Knowledge Technology), as well as new contributions. The following four important areas in denotational mathem- ics and its applications are covered: Foundations and applications of denotational mathematics, focusing on: a) c- temporary denotational mathematics for computational intelligence; b) deno- tional mathematical laws of software; c) a comparative study of STOPA and RTPA; and d) a denotational mathematical model of abstract games.