Experimental analysis of the performance of machine learning algorithms in the classification of navigation accident records

Experimental analysis of the performance of machine learning algorithms in the classification of navigation accident records

This paper aims to evaluate the use of machine learning techniques in a database of marine accidents. We analyzed and evaluated the main causes and types of marine accidents in the Northern Fluminense region. For this, machine learning techniques were used. The study showed that the modeling can be...

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Bibliographic Details
Main Authors: REIS, M V. S. de A., WEITZEL, L.
Format: Article
Language:English
Published: Faculdade Salesiana Maria Auxiliadora 2017-06-01
Series:Sistemas de Informação
Subjects:
Machine Learning
Brazilian Navy
Data Mining
K-Nearest Neighbor
Multilayer Perceptron
Bayesian Networks
Sequential Minimal Optimization
Online Access:http://www.fsma.edu.br/si/edicao19/Download_FSMA_SI_2017_1_Principal_4_en.html
Description
Summary:This paper aims to evaluate the use of machine learning techniques in a database of marine accidents. We analyzed and evaluated the main causes and types of marine accidents in the Northern Fluminense region. For this, machine learning techniques were used. The study showed that the modeling can be done in a satisfactory manner using different configurations of classification algorithms, varying the activation functions and training parameters. The SMO (Sequential Minimal Optimization) algorithm showed the best performance result.
ISSN:1983-5604
1983-5604

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