Repozytorium Eny Politechnika Wrocławska

Repozytorium W. Elektrycznego Politechniki Wrocławskiej Znaleziono 7 rekordów  Szukanie trwało 0.02 sekund. 
RBF and SVM Neural Networks for Power Quality Disturbances Analysis / Janik, P ; Lobos, T ; Schegner, P [ENY-ARTICLE-2008-053]
This paper presents classification results of different power quality disturbances. [...]
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Automated Classification of Power Quality Disturbances using SVM and RBF Networks / Janik, P ; Lobos, T [ENY-ARTICLE-2009-239]
The authors propose a new method of power quality classification using SVM (Support Vector Machine) neural networks. [...]
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Voltage fluctuation assessment with application of neural networks / Janik, P [ENY-ARTICLE-2008-135]
The paper presents a contribution to voltage fluctuation assessment. [...]
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Automatic Fault Classification in Power Electronics Using Time-Frequency Distribution and Neural Networks / Leonowicz, Z ; Lobos, T [RZ I07/2003/I-077] [ENY-ARTICLE-2009-249]
A new method of fault analysis and detection by signal classification in frequency converters is presented. [...]
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Analysis of influence of power quality disturbances using a neuro-fuzzy systems / Janik, P ; Leonowicz, Z ; Lobos, T ; Waclawek, Z [RZ I07/2007/I-025] [ENY-ARTICLE-2008-172]
The authors propose an automated neuro-fuzzy system approach (with neural network subsystem) to power quality assessment incorporating equipment susceptibility patterns. [...]
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Classification of Electric Signals Based on Time-Frequency Signal Decomposition / Leonowicz, Z [ENY-PREPRINT-2008-003]
A classification procedure based on time-frequency decomposition of the signal is presented. [...]
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Independent Variable Selection: An Application of Independent Component Analysis to Forecasting a Stock Index / Cichocki, A ; Stansell, S R ; Leonowicz, Z ; Buck, J [ENY-PREPRINT-2008-002]
Forecasts of financial time series requires the use of a possibly large set of input (explanatory) variables drawn form a very large set of potential inputs. [...]
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