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03368nam a22005535i 4500 |
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978-3-319-42993-9 |
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|a 9783319429939
|9 978-3-319-42993-9
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|a 10.1007/978-3-319-42993-9
|2 doi
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|a Intelligence Systems in Environmental Management: Theory and Applications
|h [electronic resource] /
|c edited by Cengiz Kahraman, İrem Uçal Sari.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2017.
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| 300 |
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|a XX, 468 p. 89 illus., 63 illus. in color.
|b online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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| 490 |
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 113
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| 505 |
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|a Waste Management -- Energy Management -- Sustainability -- Environmental Economics -- Land Use Planning -- Sustainable Transportation.
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| 520 |
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|a This book offers a comprehensive reference guide to intelligence systems in environmental management. It provides readers with all the necessary tools for solving complex environmental problems, where classical techniques cannot be applied. The respective chapters, written by prominent researchers, explain a wealth of both basic and advanced concepts including ant colony, genetic algorithms, evolutionary algorithms, fuzzy multi-criteria decision making tools, particle swarm optimization, agent-based modelling, artificial neural networks, simulated annealing, Tabu search, fuzzy multi-objective optimization, fuzzy rules, support vector machines, fuzzy cognitive maps, cumulative belief degrees, and many others. To foster a better understanding, all the chapters include relevant numerical examples or case studies. Taken together, they form an excellent reference guide for researchers, lecturers and postgraduate students pursuing research on complex environmental problems. Moreover, by extending all the main aspects of classical environmental solution techniques to its intelligent counterpart, the book presents a dynamic snapshot on the field that is expected to stimulate new directions and stimulate new ideas and developments. .
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| 650 |
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|a Engineering.
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| 650 |
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|a Renewable energy resources.
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| 650 |
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|a Artificial intelligence.
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| 650 |
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0 |
|a Computational intelligence.
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| 650 |
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0 |
|a Renewable energy sources.
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| 650 |
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|a Alternate energy sources.
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| 650 |
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0 |
|a Green energy industries.
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| 650 |
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|a Environmental management.
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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 Environmental Management.
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| 650 |
2 |
4 |
|a Renewable and Green Energy.
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| 650 |
2 |
4 |
|a Artificial Intelligence (incl. Robotics).
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| 700 |
1 |
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|a Kahraman, Cengiz.
|e editor.
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| 700 |
1 |
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|a Sari, İrem Uçal.
|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 9783319429922
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| 830 |
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|a Intelligent Systems Reference Library,
|x 1868-4394 ;
|v 113
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| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-3-319-42993-9
|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)
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