| Document Type
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BL
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| Record Number
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859895
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| Main Entry
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Mexican International Conference on Artificial Intelligence(16th :2017 :, Enseneda, Mexico)
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| Title & Author
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Advances in soft computing : : 16th Mexican International Conference on Artificial Intelligence, MICAI 2017 Enseneda, Mexico, October 23-28, 2017, proceedings.\ Félix Castro, Sabino Miranda-Jiménez, Miguel González-Mendoza (eds.).
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| Publication Statement
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Cham, Switzerland :: Springer,, 2019.
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| Series Statement
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Lecture notes in artificial intelligence
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Lecture notes in computer science ;; 10632
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LNCS sublibrary. SL 7, Artificial intelligence
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| Page. NO
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1 online resource
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| ISBN
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3030028372
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: 9783030028374
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9783030028367
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| Notes
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Includes author index.
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International conference proceedings.
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| Contents
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Intro -- Preface -- Organization -- Contents -- Part I -- Contents -- Part II -- Neural Networks -- Versatility of Artificial Hydrocarbon Networks for Supervised Learning -- 1 Introduction -- 2 Features of Supervised Learning Methods -- 3 Artificial Hydrocarbon Networks -- 3.1 Overview of the Learning Algorithm -- 4 AHN for Supervised Learning -- 4.1 Audio Filtering -- 4.2 Online Sales Prediction -- 4.3 Face Recognition -- 4.4 Human Activity Recognition -- 4.5 Intelligent Control Systems for Robotics -- 4.6 Breast Cancer Detection and Interpretation -- 5 Discussion -- 6 Conclusions
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2 A Review of Previous Work -- 3 Instruments and Methods -- 3.1 Feature Selection -- 3.2 Rough Set Theory -- 3.3 The Improved Support Vector Machine with Rough Set Theory -- 3.4 Using Rough Set as the Weighted Kernel of SVM -- 4 Experimental Result -- 4.1 Details of the Proposed System -- 4.2 The Evaluation of Results -- 5 Conclusion -- References -- Evolutionary Algorithms and Optimization -- On the Many-Objective Pickup and Delivery Problem: Analysis of the Performance of Three Evolutionary Algorithms -- 1 Introduction -- 2 Multi-objective Optimization Problems
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3 The Many-Objective Pickup and Delivery Problem -- 4 Multi-objective Optimizers -- 4.1 GN-MOEA -- 4.2 MOEA/D -- 4.3 NSGA-III -- 5 Experimental Set-Up and Results -- 5.1 Analysis of the Hypervolume Indicator -- 5.2 Analysis of the Generational Distance Indicator -- 5.3 Analysis of Objective P Extreme Values -- 5.4 Size of the Approximation Sets -- 5.5 Execution Time -- 5.6 Final Remarks -- 6 Conclusions -- References -- An Evolutive Scoring Method for Cloud Computing Provider Selection Based on Performance Indicators -- 1 Introduction -- 2 The Problem of Selecting Cloud Computing Providers
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5 Conclusions and Future Work -- References -- Fast Learning for Accurate Object Recognition Using a Pre-trained Deep Neural Network -- 1 Introduction -- 2 Related Work -- 3 Object Recognition System -- 3.1 Pre-trained Iv3 Deep Neural Network (Iv3 Method) -- 3.2 SVM Classifier Using Color and Shape Features (Color+Shape+SVM Method) -- 3.3 SVM Classifier Using Iv3 (Iv3+SVM:All Method) -- 4 Experiments and Results -- 5 Conclusions and Future Work -- References -- Introducing a Classification Model Based on SVM for Network Intrusion Detection -- Abstract -- 1 Introduction
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| Subject
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Artificial intelligence, Congresses.
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| Subject
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Soft computing, Congresses.
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| Subject
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Artificial intelligence.
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| Subject
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Soft computing.
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| Dewey Classification
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006.3
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| LC Classification
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QA76.9.S63
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| Added Entry
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Castro, Félix
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González, Miguel, (Computer scientist)
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Miranda-Jiménez, Sabino
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| Parallel Title
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MICAI 2017
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