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Titlebook: Computational Intelligence; International Joint Juan Julian Merelo,Agostinho Rosa,Joaquim Filipe Conference proceedings 2016 Springer Inte

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发表于 2025-3-21 19:26:57 | 显示全部楼层 |阅读模式
书目名称Computational Intelligence
副标题International Joint
编辑Juan Julian Merelo,Agostinho Rosa,Joaquim Filipe
视频video
概述Recent research in Computational Intelligence.Revised and selected papers of the International Joint Conference IJCCI 2014 held in Rome, Italy, October 16-18, 2014.Written by leading experts in the fi
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence; International Joint  Juan Julian Merelo,Agostinho Rosa,Joaquim Filipe Conference proceedings 2016 Springer Inte
描述.The present book includes a set of selected extended papers from the sixth International Joint Conference on Computational Intelligence (IJCCI 2014), held in Rome, Italy, from 22 to 24 October 2014. The conference was composed by three co-located conferences:  The International Conference on Evolutionary Computation Theory and Applications (ECTA), the International Conference on Fuzzy Computation Theory and Applications (FCTA), and the International Conference on Neural Computation Theory and Applications (NCTA). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 210 submissions, from 51 countries, in all continents. After a double blind paper review performed by the Program Committee, 15% were accepted as full papers and thus selected for oral presentation. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2014. Commitment to high quality standards is a major concern of IJCCI tha
出版日期Conference proceedings 2016
关键词Computational Intelligence; Evolutionary Computation; Fuzzy Computation; IJCCI; IJCCI 2014; Neural Comput
版次1
doihttps://doi.org/10.1007/978-3-319-26393-9
isbn_softcover978-3-319-35687-7
isbn_ebook978-3-319-26393-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing Switzerland 2016
The information of publication is updating

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Studies in Computational Intelligencehttp://image.papertrans.cn/c/image/232366.jpg
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https://doi.org/10.1007/3-540-11956-6esses. Those three elements are the basics of a PID Controller. Each one performs a different task and has a different effect on the functioning of a system. The expected behavior of a system depends of the setting of those parameters. There are alternatives to the traditional rules of PID tuning, b
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John R. Klauder,Ingrid Daubechieseen applied in clustering problems, where spectral graph clustering technique has been used. In order to use evolutionary algorithms initial population has been created consisting of nearest neighbor graphs and variations of these graphs, which have been properly altered in order to form chromosomes
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https://doi.org/10.1007/978-1-4612-9866-3ue to the flashing Brownian ratchet in non-equilibrium statistical physics. The original Parrondo game consists of two individual games: game A and game B. Here game A is a coin-tossing game with winning probability . slightly less than half, so that its persistent usage will be losing in the long r
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Stochastic Processes in Underwater Acousticsollected from the Italian Local Health Authority (ASL) as part of the Surveillance National System. The main aim of this work is the design of a software application that can be used by occupational physicians in monitoring workers, performing a risk assessment of contracting some particular occupat
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Stochastic Processes in Underwater Acousticssitions or the response of the player, even if programmed, is not deterministic; different matches will yield different scores. That is a problem when optimizing a game-playing engine: its fitness will be noisy, and if we use an evolutionary algorithm it will have to deal with it. This is not straig
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https://doi.org/10.1007/978-94-011-3268-8onal grid of nodes, through which the particles interact and move according to simple rules. As a result of this structure, each particle’s neighbourhood degree is time-varying. If at given time step . particle . has no neighbours except itself, . is not evaluated until it establishes at least one l
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https://doi.org/10.1007/978-94-011-3268-8sumer feedback. The modern SG systems are equipped with Smart Sensors scattered within the real-world power distribution lines that are able to take a fine-grain picture of the actual power grid status gathering a huge amount of heterogeneous data. The Computational Intelligence paradigm has proven
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