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Titlebook: Computational Intelligence; International Joint Juan Julián Merelo,Agostinho Rosa,Joaquim Filipe Conference proceedings 2017 Springer Inte

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书目名称Computational Intelligence
副标题International Joint
编辑Juan Julián Merelo,Agostinho Rosa,Joaquim Filipe
视频video
概述Includes recent research in computational intelligence.Presents revised and selected versions of the best papers from International Joint Conference IJCCI 2015.Written by leading experts in computatio
丛书名称Studies in Computational Intelligence
图书封面Titlebook: Computational Intelligence; International Joint  Juan Julián Merelo,Agostinho Rosa,Joaquim Filipe Conference proceedings 2017 Springer Inte
描述.This book includes a selection of revised and extended versions of the best papers from the seventh International Joint Conference on Computational Intelligence (IJCCI 2015), held in Lisbon, Portugal, from 12 to 14 November 2015, which was composed of 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). The book presents recent advances in scientific developments and applications in these three areas, reflecting the IJCCI’s commitment to high quality standards..
出版日期Conference proceedings 2017
关键词Computational Intelligence; Evolutionary Computation; Fuzzy Computation; IJCCI; IJCCI 2015; Neural Comput
版次1
doihttps://doi.org/10.1007/978-3-319-48506-5
isbn_softcover978-3-319-83957-8
isbn_ebook978-3-319-48506-5Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Adaptive Differential Evolution Supports Automatic Model Calibration in Furnace Optimized Control Syose a new adaptive DE algorithm that dynamically adjusts its running parameters during its execution. The core of this new algorithm is the incorporated greedy local search, which is conducted in successive learning periods to continuously locate better parameter assignments in the optimization proc
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Adjudicated GP: A Behavioural Approach to Selective Breedingclassification and symbolic regression problems, and show that both of our novel . and . tactics significantly outperform both a standard genetic programming and an enhanced genetic programming configuration on the fourteen problems studied. The proposed method is extremely effective when incorporat
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Human Mortality Modeling with a Fuzzy Approach Based on Singular Value Decomposition Techniqueutputs show that proposed method is statistically better in modeling mortality compared to the existing fuzzy method. In addition, the modified fuzzy time series technique generates better forecasts than the original version.
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Improvement of LCC Prediction Modeling Based on Correlated Parameters and Model Structure Uncertaintlied to propagate uncertainty associated to LCC prediction models and to solve multidimensional problems. This paper presents an effective optimization scheme for the LCC prediction modeling based on the uncertainty propagation of model parameters and model structure. Uncertainty propagation is anal
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