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_aQ342 _b.A383 2017 EB |
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| 111 | 2 |
_aInternational Conference on Computational Intelligence _n(1st : _d2015 : _cRānchī, India) |
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| 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] |
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| 300 |
_a1 recurso en línea (xiii, 450 páginas) _bilustraciones (algunas a color) |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 0 |
_aAdvances in intelligent systems and computing _x2194-5357 _vvolume 509 |
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| 500 | _aIncludes author index. | ||
| 500 |
_aSpringerLink _bSpringer Engineering eBooks 2017 English+International |
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| 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 |
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| 700 | 1 |
_aSaha, Sujan Kumar, _eeditor literario |
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| 700 | 1 |
_aSahana, Sudip Kumar, _eeditor literario |
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| 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 |
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