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035 _a(OCoLC)962750888
_z(OCoLC)962843528
_z(OCoLC)974651206
_z(OCoLC)981101154
_z(OCoLC)1005801022
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050 4 _aQ342
_b.A383 2017 EB
111 2 _aInternational Conference on Computational Intelligence
_n(1st :
_d2015 :
_cRānchī, India)
245 1 0 _aAdvances in computational intelligence :
_bproceedings of International Conference on Computational Intelligence 2015
_cSudip Kumar Sahana, Sujan Kumar Saha, editors.
264 1 _aSingapore
_bSpringer
_c[2017]
300 _a1 recurso en línea (xiii, 450 páginas)
_bilustraciones (algunas a color)
336 _aTexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aAdvances in intelligent systems and computing
_x2194-5357
_vvolume 509
500 _aIncludes author index.
500 _aSpringerLink
_bSpringer Engineering eBooks 2017 English+International
505 0 _aPreface; Acknowledgements; Contents; About the Editors; Fuzzy Logic; 1 A New Approach to Interval-Valued Fuzzy Soft Sets and Its Application in Decision-Making; Abstract; 1 Introduction; 2 Definitions and Notions; 3 Interval-Valued FSS; 4 Application of IVFSS in Decision-Making; 4.1 Algorithm; 5 Conclusions; References; 2 A Grid-Based Approach to Prolong Lifetime of WSNs Using Fuzzy Logic; Abstract; 1 Introduction; 2 Related Works; 3 Proposed Work; 3.1 Steps in Proposed Approach; 3.2 Input and Output for Fuzzy System; 3.2.1 Input Variables; 3.2.2 Output; 4 Simulation and Result Analysis.
505 8 _a1 Introduction2 Materials and Methodology; 2.1 Study Area and Data; 2.2 Artificial Neural Network Model; 3 Model Architecture Determination; 3.1 Performance Evaluation of the Model; 4 Results and Discussion; 5 Conclusion and Recommendation; References; 9 Neural Network Based Breakout Predicting System for All Four Strands of Caster in a Continuous Casting Shop-A Case Study; Abstract; 1 Introduction; 2 Causes of Breakouts; 3 Loss Due to Breakout; 4 Network Design; 4.1 Training Data for Networks; 4.2 Normalization by Scaling Between 0 and 1; 4.3 Training Parameters.
505 8 _a1 Introduction2 Problem Formulation; 3 Parameter Selection; 4 Implementation of NSGA II; 4.1 Objective Functions; 4.2 Chromosome Encoding; 4.3 GA Operators; 5 Conclusion; References; 7 Advance Prediction of Adverse Digressions in Continuous-Time Systems Using ANN Kernels: A Generic Approach Instantiated in Steel Manufacturing; Abstract; 1 Introduction; 2 The Basic Classification Approach; 3 Shifting to the Continuity Paradigm; 4 Results, Generalization and Further Work; 5 Conclusions; References; 8 Determination of Suitable ANN Architecture for Groundwater Fluoride Prediction; Abstract.
505 8 _a3 The Proposed Approach3.1 Neighborhood Discovery Phase; 3.2 Cluster Setup Phase; 3.3 Fuzzy Logic-Based Cluster Range Calculation; 3.4 On-Demand Clustering; 4 Result and Discussion; 5 Conclusion; References; 5 Intuitionistic Fuzzy-Based Multi-Attribute Decision-Making Approach for Selection of Inventory Policy; Abstract; 1 Introduction; 2 Preliminaries on Intuitionistic Fuzzy Sets; 3 Working Procedure for Ranking [11]; 4 Numerical Example; 5 Conclusion; References; Artificial Neural Network; 6 An NSGA II-Based Approach for Optimization of Reconfigurable Cellular Manufacturing System; Abstract.
505 8 _a4.1 Simulation Results5 Conclusion and Future Scope; References; 3 Harmonics Minimization in Inverter Using Fuzzy Controller-Based Photovoltaic Cell; Abstract; 1 Introduction; 2 PV Cell; 2.1 Effect of Variation of Solar Irradiation; 3 Boost Converter; 4 Fuzzy Logic Controller Implementation in PV; 5 Simulink Model and Simulation Results; 5.1 The Simulation has been Done on the Basis of Data as; 6 Conclusion; References; 4 Fuzzy Logic-Based Unequal Clustering with On-Demand-Based Clustering Approach for a Better Lifetime of Wireless Sensor Network; Abstract; 1 Introduction; 2 Literature Review.
520 3 _aThis volume comprises the proceedings of the International Conference on Computational Intelligence 2015 (ICCI15). This book aims to bring together work from leading academicians, scientists, researchers and research scholars from across the globe on all aspects of computational intelligence. The work is composed mainly of original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of computational intelligence. Specifically, the major topics covered include classical computational intelligence models and artificial intelligence, neural networks and deep learning, evolutionary swarm and particle algorithms, hybrid systems optimization, constraint programming, human-machine interaction, computational intelligence for the web analytics, robotics, computational neurosciences, neurodynamics, bioinspired and biomorphic algorithms, cross disciplinary topics and applications. The contents of this volume will be of use to researchers and professionals alike.
650 7 _aInteligencia artificial
_2embne
_0(OCoLC)fst00871995
_0
_9413115
700 1 _aSaha, Sujan Kumar,
_eeditor literario
700 1 _aSahana, Sudip Kumar,
_eeditor literario
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-981-10-2525-9
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
988 _aEBOOK, asignarmaterias, EBSPRINGER_2017A
998 _b02/2018
_dz
_e-
_zSI
999 _c94864
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