Data extractionfrom sound waves towards neural network trainig set
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F11%3AA12011XY" target="_blank" >RIV/61988987:17310/11:A12011XY - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Data extractionfrom sound waves towards neural network trainig set
Original language description
We present the proposed method that is based on neural networks in this paper. The neural network identifies a distance between an active transmitter and a receiver on the basis of sound pulses transmitted from transmitters in the defined domain. Consequently, another neural network uses obtained distances between transmitters and a receiver as its inputs to determine an actual position of the receiver in space. To solve data extraction from sound waves, we propose a new structure of training set corresponding to its original structure that means it is used to separate all difficult recognizing patterns from the training data set, therefore the main emphasis of this paper is focused on the fact, how to properly design training set for given neural networks.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Mendel 2011
ISBN
978-80-214-4302-0
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
177-184
Publisher name
Brno Univerzity of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 15, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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