16th Mexican International Conference on Artificial Intelligence, MICAI 2017 Enseneda, Mexico, October 23-28, 2017, proceedings.
First Statement of Responsibility
Félix Castro, Sabino Miranda-Jiménez, Miguel González-Mendoza (eds.).
Volume Designation
Part I /
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Cham, Switzerland :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Lecture notes in artificial intelligence
Series Title
Lecture notes in computer science ;
Series Title
LNCS sublibrary. SL 7, Artificial intelligence
Volume Designation
10632
GENERAL NOTES
Text of Note
Includes author index.
Text of Note
International conference proceedings.
CONTENTS NOTE
Text of Note
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
Text of Note
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
Text of Note
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
Text of Note
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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ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9783030028374
PARALLEL TITLE PROPER
Parallel Title
MICAI 2017
TOPICAL NAME USED AS SUBJECT
Artificial intelligence, Congresses.
Soft computing, Congresses.
Artificial intelligence.
Soft computing.
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
9
.
S63
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Castro, Félix
González, Miguel, (Computer scientist)
Miranda-Jiménez, Sabino
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
Mexican International Conference on Artificial Intelligence(16th :2017 :, Enseneda, Mexico)