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Titlebook: Computational Intelligence; International Joint Juan Julian Merelo,Fernando Melício,Joaquim Filipe Conference proceedings 2019 Springer Na

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书目名称Computational Intelligence
副标题International Joint
编辑Juan Julian Merelo,Fernando Melício,Joaquim Filipe
视频video
概述Highlights recent research on Computational Intelligence.Gathers revised papers presented at the 8th International Joint Conference on Computational Intelligence (IJCCI 2016), held in Porto, Portugal
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence; International Joint  Juan Julian Merelo,Fernando Melício,Joaquim Filipe Conference proceedings 2019 Springer Na
描述This book gathers revised and extended versions of the best papers presented at the 8th International Joint Conference on Computational Intelligence (IJCCI 2016), which was held in Porto, Portugal from 9 to 11 November 2016. The papers address three main fields of Computational Intelligence, namely: Evolutionary Computation, Fuzzy Computation, and Neural Computation. In addition to highlighting recent advances in these areas, the book offers veteran researchers new and innovative solutions, while also providing a source of information and inspiration for newcomers to the field. 
出版日期Conference proceedings 2019
关键词Computational Intelligence; Evolutionary Computation; Fuzzy Computation; Neural Computation; IJCCI Paper
版次1
doihttps://doi.org/10.1007/978-3-319-99283-9
isbn_softcover978-3-030-07585-9
isbn_ebook978-3-319-99283-9Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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https://doi.org/10.1007/978-3-642-45767-8sary for a particle to obtain equilibrium state in deterministic and stochastic models. For the deterministic model, an earlier defined upper bound of particle convergence time (.) is revised and updated. For the stochastic model, four new measures of the expected particle convergence time are propo
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Supply Chain Resilience: Supply Portfolioel considered, agents inhabit a toroidal lattice grid, in which they participate in a social dilemma games, and have the ability to move in response to environmental stimuli. In particular, using the classical 2-player prisoner’s dilemma and a generalised N-player prisoner’s dilemma, we compare and
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https://doi.org/10.1007/978-3-642-61515-3ng and testing data sets exhibit significant skew. As skewed feature values are commonly observed in biological data sets, this is a topic that is of interest in terms of the applicability of such a classifier to these types of problems. This paper presents an approach to improve the classification
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STEOR Networks and EOR Networks,rresolution calculus suitable for automated deduction in a useful expansion of the propositional product logic by intermediate truth constants and the equality, ., strict order, ., projection, ., operators. We expand the propositional product logic by a countable set of intermediate truth constants
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