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FEMaR: A Finite Element Machine for Regression Problems
(2017 International Joint Conference On Neural Networks (ijcnn), 2017-01-01) [Trabalho apresentado em evento]
Regression-based tasks have been the forerunner regarding the application of machine learning tools in the context of data mining. Problems related to price and stock prediction, selling estimation, and weather forecasting ...
FINITE ELEMENT SIMULATIONS FOR THE COMPREHENSION OF PHYSICAL PHENOMENA INVOLVED IN ELECTRIC IMPEDANCE TOMOGRAPHY OF MASONRY STRUCTURES
(Structural Analysis Of Historical Constructions, Vols 1-3, 2012-01-01) [Trabalho apresentado em evento]
The paper describes the preliminary studies of University of Minho on the use of Electric Impedance/Resistance Tomography to assess masonry structures. The study is focused on the analysis of values of current and voltage ...
A Non-Destructive Testing Based on Electromagnetic Measurements and Neural Networks for the Inspection of Concrete Structures
(Advanced Measurement and Test, Pts 1-3, 2011-01-01) [Trabalho apresentado em evento]
This paper presents a new non-destructive testing (NDT) for reinforced concrete structures, in order to identify the components of their reinforcement. A time varying electromagnetic field is generated close to the structure ...
Optimizing feature selection through binary charged system search
(Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2013-09-26) [Trabalho apresentado em evento]
Feature selection aims to find the most important information from a given set of features. As this task can be seen as an optimization problem, the combinatorial growth of the possible solutions may be inviable for a ...
A visual tool for building synchronous generator capability curves
(Conference Proceedings - IEEE SOUTHEASTCON, 2012-05-31) [Trabalho apresentado em evento]
Synchronous generators are essential components of electric power systems. They are present both in hydro and thermal power plants, performing the function of converting mechanical into electrical energy. This paper presents ...
What is the importance of selecting features for non-technical losses identification?
(Proceedings - IEEE International Symposium on Circuits and Systems, 2011-08-02) [Trabalho apresentado em evento]
Although non-technical losses automatic identification has been massively studied, the problem of selecting the most representative features in order to boost the identification accuracy has not attracted much attention ...
Neural networks models for wear patterns recognition of single-point dresser
(IFAC Proceedings Volumes (IFAC-PapersOnline), 2013-09-24) [Trabalho apresentado em evento]
Grinding is a workpiece finishing process for advanced products and surfaces. However, the constant friction between workpiece and grinding wheel causes the latter to lose its sharpness, thereby impairing the result of the ...
Fault location in underground systems using artificial neural networks and PSCAD/EMTDC
(INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, 2012-10-01) [Trabalho apresentado em evento]
The need for high reliability and environmental concerns are making the underground networks the most appropriate choice of energy distribution. However, like any other system, underground distribution systems are not free ...
Fast fault diagnosis in power transformers using optimum-path forest
(INES 2012 - IEEE 16th International Conference on Intelligent Engineering Systems, Proceedings, 2012-10-01) [Trabalho apresentado em evento]
In this paper we propose a fast and an accurate method for fault diagnosis in power transformers by means of Optimum-Path Forest (OPF) classifier. Since we applied Dissolved Gas Analysis (DGA), the samples have been labeled ...
Anfis applied to the prediction of surface roughness in grinding of advanced ceramics
(Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2011, 2011-12-01) [Trabalho apresentado em evento]
This paper introduces a methodology for predicting the surface roughness of advanced ceramics using Adaptive Neuro-Fuzzy Inference System (ANFIS). To this end, a grinding machine was used, equipped with an acoustic emission ...