Classification and Separation of Emitted Signals through phi-Divergence Based Algorithms

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F12%3A00199068" target="_blank" >RIV/68407700:21340/12:00199068 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Classification and Separation of Emitted Signals through phi-Divergence Based Algorithms
Original language description
This paper engages in the classification of acoustic emission (AE) signals by means of different classification methods, e.g. Fuzzy method, Model-based method, Support Vector Machine. We deal also with application of phi-divergences in the field of classification. We propose an incorporation of the -divergence both as a part of classification method and also as a parameter for classification. By means of divergence from different parts of spectrum we can obtain different parameters and so obtain more compact clusters. In this paper we compare various methods of classification with and without incorporation of phi-divergence and we apply them to our laboratory measured data and also data from real physical experiments.
Czech name
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Czech description
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Project
<a href="/en/project/LG12020" target="_blank" >LG12020: Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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