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Titlebook: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16; San Sebastián, Spain Manuel Gra?a,José Manuel López-Guede,Emilio Corcha Conferen

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書目名稱International Joint Conference SOCO’16-CISIS’16-ICEUTE’16
副標題San Sebastián, Spain
編輯Manuel Gra?a,José Manuel López-Guede,Emilio Corcha
視頻videohttp://file.papertrans.cn/472/471731/471731.mp4
概述Latest research on Soft Computing Models in Industrial and Environmental Applications, Computational Intelligence in Security for Information Systems and European Transnational Education.Scientific ou
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: International Joint Conference SOCO’16-CISIS’16-ICEUTE’16; San Sebastián, Spain Manuel Gra?a,José Manuel López-Guede,Emilio Corcha Conferen
描述.This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2016, CISIS 2016 and ICEUTE 2016, all conferences held in the beautiful and historic city of San Sebastián (Spain), in October 2016..Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena..After a through peer-review process, the 11th SOCO 2016 International Program Committee selected 45 papers. In this relevant edition a special emphasis was put on the organization of special sessions. Two special session was organized related to relevant topics as: Optimization, Modeling and Control Systems by Soft Computing and Soft Computing Methods in Manufacturing and Management Systems..The aim of the 9th CISIS 2016 conference is to offer a meeting opportunity for academic and industry-related researchers belonging to the various, vast communities of Computational Intelligence, Information Security, and Data Mining. The need for intelligent, flexible behaviour by large, complex systems, especially in mission-critical domains, is
出版日期Conference proceedings 2017
關(guān)鍵詞Soft Computing Models in Industrial & Environment Applications; Computational Intelligence; Soft Compu
版次1
doihttps://doi.org/10.1007/978-3-319-47364-2
isbn_softcover978-3-319-47363-5
isbn_ebook978-3-319-47364-2Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Use of Support Vector Machines and Neural Networks to Assess Boar Sperm Viabilitygrity gives information about if a sperm cell is able to fertilize an oocyte. If the acrosome is intact, the fertilization is possible. Otherwise, if a sperm cell has already reacted and has lost its acrosome or even if it is going through the capacitation process, such sperm cell has lost its capab
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Learning Fuzzy Models with a SAX-based Partitioning for Simulated Seizure Recognitiond on the detection of simulated epileptic seizures have found that Fuzzy Rule Base Classifiers (FRBC) can be learnt with Ant Colony Systems (ACS) to efficiently deal with this problem. However, the computational requirements for obtaining these models is relatively high, which suggests that an alter
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Cyclone Performance Prediction Using Linear Regression Techniquesng conditions could contribute useful information and could also save these industries significant amounts of capital. This study models cyclone performance using linear regression techniques and low errors were obtained in comparison with the values obtained from real experiments. Linear regression
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A Hybrid Method for Optimizing Shopping Lists Oriented to Retail Store Costumersmers organizations like The European Consumer Organization [.], advise buyers to prepare a “grocery list” in order to be ready for this activity. The present work proposes a system that helps to develop this activity in several ways: Firstly, it enables the user to create lists with different levels
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