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03612nam a22004695i 4500 |
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978-3-642-30154-4 |
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DE-He213 |
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20151125231253.0 |
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cr nn 008mamaa |
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120711s2012 gw | s |||| 0|eng d |
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|a 9783642301544
|9 978-3-642-30154-4
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|a 10.1007/978-3-642-30154-4
|2 doi
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|a Q342
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|a COM004000
|2 bisacsh
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|a 006.3
|2 23
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|a Advances in Intelligent Modelling and Simulation
|h [electronic resource] :
|b Artificial Intelligence-Based Models and Techniques in Scalable Computing /
|c edited by Joanna Kołodziej, Samee Ullah Khan, Tadeusz Burczy´nski.
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| 264 |
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1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2012.
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| 300 |
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|a XXIV, 384 p.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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| 347 |
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|a text file
|b PDF
|2 rda
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1 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 422
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| 520 |
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|a One of the most challenging issues in today’s large-scale computational modeling and design is to effectively manage the complex distributed environments, such as computational clouds, grids, ad hoc, and P2P networks operating under various types of users with evolving relationships fraught with uncertainties. In this context, the IT resources and services usually belong to different owners (institutions, enterprises, or individuals) and are managed by different administrators. Moreover, uncertainties are presented to the system at hand in various forms of information that are incomplete, imprecise, fragmentary, or overloading, which hinders in the full and precise resolve of the evaluation criteria, subsequencing and selection, and the assignment scores. Intelligent scalable systems enable the flexible routing and charging, advanced user interactions and the aggregation and sharing of geographically-distributed resources in modern large-scale systems. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented. All of those technologies have formed the foundation for the intelligent scalable computing that we know of today. We believe that this book will serve as a reference for students, researchers, and industry practitioners working or interested in joining interdisciplinary research in the areas of intelligent decision systems using emergent distributed computing paradigms. It will also allow newcomers (students and researchers alike) to grasp key issues and potential solutions on the selected topics.
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| 650 |
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0 |
|a Engineering.
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| 650 |
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0 |
|a Artificial intelligence.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Computational Intelligence.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 700 |
1 |
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|a Kołodziej, Joanna.
|e editor.
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| 700 |
1 |
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|a Khan, Samee Ullah.
|e editor.
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| 700 |
1 |
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|a Burczy´nski, Tadeusz.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
0 |
8 |
|i Printed edition:
|z 9783642301537
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| 830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 422
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-642-30154-4
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
|
