International joint conference SOCO'17-CISIS'17-ICEUTE'17 León, Spain, September 6-8, 2017, Proceedings / Hilde Pérez García, Javier Alfonso-Cendón, Lidia Sánchez González, Héctor Quintián, Emilio Corchado, editors.
SOCO (Conference) (12th : 2017 : León, Spain), author.; García, Hilde Pérez, editor.; Alfonso-Cendón, Javier, editor.; González, Lidia Sánchez, editor.; Quintián, Héctor, editor.; Corchado, Emilio, editor.; International Conference on Computational Intelligence in Security for Information Systems (10th : 2017 : León, Spain), jointly held conference.; ICEUTE (Conference) (8th : 2017 : León, Spain), jointly held conference.
2018
QA76.9.S63
Available Online

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Title International joint conference SOCO'17-CISIS'17-ICEUTE'17 León, Spain, September 6-8, 2017, Proceedings / Hilde Pérez García, Javier Alfonso-Cendón, Lidia Sánchez González, Héctor Quintián, Emilio Corchado, editors.
Meeting Name SOCO (Conference) (12th : 2017 : León, Spain), author.
ISBN 9783319671802 (electronic book)
3319671804 (electronic book)
9783319671796
3319671790
DOI https://doi.org/10.1007/978-3-319-67180-2
Published Cham, Switzerland : Springer, [2018].
Language English
Description 1 online resource.
Item Number 10.1007/978-3-319-67180-2 doi
Call Number QA76.9.S63
Dewey Decimal Classification 006.3
Summary This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2017, CISIS 2017 and ICEUTE 2017, all conferences held in the beautiful and historic city of León (Spain), in September 2017. 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 12th SOCO 2017 International Program Committee selected 48 papers which are published in these conference proceedings, and represents an acceptance rate of 45%. 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: Artificial Intelligence and Machine Learning Applied to Health Sciences and Soft Computing Methods in Manufacturing and Management Systems. The aim of the 10th CISIS 2017 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 intended to be the catalyst and the aggregation stimulus for the overall event. One special session was organized related to the relevant topic of Identification, Simulation and Prevention of Security and Privacy Threats in Modern Communication Networks. After a through peer-review process, the CISIS 2017 International Program Committee selected 18 papers which are published in these conference proceedings achieving an acceptance rate of 38%. In the case of 8th ICEUTE 2017, the International Program Committee selected 8 papers, which are published in these conference proceedings.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file PDF
Source of Description Online resource; title from PDF title page (SpringerLink, viewed September 5, 2017).
Added Author García, Hilde Pérez, editor.
Alfonso-Cendón, Javier, editor.
González, Lidia Sánchez, editor.
Quintián, Héctor, editor.
Corchado, Emilio, editor.
Added Meeting Name International Conference on Computational Intelligence in Security for Information Systems (10th : 2017 : León, Spain), jointly held conference.
ICEUTE (Conference) (8th : 2017 : León, Spain), jointly held conference.
Series Advances in intelligent systems and computing ; 649.
Available in Other Form Print version: 9783319671796
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Record Appears in Online Resources > Ebooks
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Preface; SOCO 2017; Organization; General Chairs; International Advisory Committee; Program Committee Chairs; Program Committee; Special Sessions; Soft Computing Methods in Manufacturing and Management Systems; Program Committee; Artificial Intelligence and Machine Learning Applied to Health Sciences; Program Committee; SOCO 2017 Organizing Committee; CISIS 2017; Organization; General Chairs; International Advisory Committee; Program Committee Chairs; Program Committee; CISIS 2017 Organizing Committee; ICEUTE 2017; Organization; General Chairs; Program Committee Chairs; Program Committee

ICEUTE 2017 Organizing CommitteeLogos; Contents; SOCO 2017: Genetic and Evolutionary Algorithms; Learning Bayesian Network to Predict Group Emotion in Kindergarten by Evolutionary Computation; Abstract; 1 Introduction; 2 Related Works; 2.1 Bayesian Network; 2.2 Learning Bayesian Network; 3 Proposed Method; 3.1 Search Procedure of Bayesian Network; 3.2 Determining Nodes; 3.3 Encoding Bayesian Network; 3.4 Evolutionary Operation; 3.5 Evaluating Fitness; 4 Experiment and Results; 4.1 Experiment Design; 4.2 Prediction Accuracy; 4.3 Analysis of the Best Individual; 5 Conclusion; Acknowledgements

Applying Genetic Algorithms in Chemical Engineering for Determining Zeolite Structures1 Introduction; 2 Problem Description of ZSD; 3 Application of Genetic Algorithms to Zeolite Structure Determination; 4 Proposal of a Genetic Algorithm for ZSD; 4.1 Setting Up; 4.2 Initialization; 4.3 Fitness Evaluation; 4.4 Crossover Operators; 4.5 Population Reduction; 5 Experimentation and Results; 6 Conclusions; References; SOCO 2017: Fuzzy Logic; Health Assessment of Automotive Batteries Through Computational Intelligence-Based Soft Sensors: An Empirical Study; 1 Introduction

2 Soft Computing-Based Battery SoH Assessment3 Empirical Study and Discussion; 4 Concluding Remarks; References; Intelligent Decision System Based on Fuzzy Logic Expert System to Improve Plastic Injection Molding Process; Abstract; 1 Introduction; 2 Development of the Intelligent System Based on Fuzzy Logic; 2.1 Creation of the Knowledge Base; 2.1.1 Injection Molding Defects; 2.1.2 Injection Molding Process Simulation; 2.1.3 Injection Tests
Trend of Each Defect Based on Single Change of Process Variables; 2.2 Develop of Inference Engines; 2.2.1 Input Data; 2.2.2 Membership Functions

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