Multi-Layer Perceptron for Field Strenght Prediction in Cellular Network Design
Identifieur interne : 00CD11 ( Main/Merge ); précédent : 00CD10; suivant : 00CD12Multi-Layer Perceptron for Field Strenght Prediction in Cellular Network Design
Auteurs : T. Balandier ; A. Caminada ; V. Lemoine ; F. AlexandreSource :
English descriptors
Abstract
The problem of field strengh prediction is mainly characterised by an incomplete specification due to the stochastic nature of the encountered environments. The neural mechanisms appear to be very outstanding in this difficult context, even though, until now this approach has rarely been tested in this domain. In this paper, new kinds of semi-empirical models of field strength prediction are constructed by using different Multi-Layer Perceptron architectures. This approach expects to overcome some of the limitations inherent in existing semi-empirical models\, : linear behaviour of the statistical analysis used in the construction of the models, low degree of freedom of the models due to the number of their parameters and unfitness for learning new situations.
Links toward previous steps (curation, corpus...)
- to stream Crin, to step Corpus: 001803
- to stream Crin, to step Curation: 001803
- to stream Crin, to step Checkpoint: 002C66
Links to Exploration step
CRIN:balandier95aLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="279">Multi-Layer Perceptron for Field Strenght Prediction in Cellular Network Design</title>
</titleStmt>
<publicationStmt><idno type="RBID">CRIN:balandier95a</idno>
<date when="1995" year="1995">1995</date>
<idno type="wicri:Area/Crin/Corpus">001803</idno>
<idno type="wicri:Area/Crin/Curation">001803</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">001803</idno>
<idno type="wicri:Area/Crin/Checkpoint">002C66</idno>
<idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">002C66</idno>
<idno type="wicri:Area/Main/Merge">00CD11</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Multi-Layer Perceptron for Field Strenght Prediction in Cellular Network Design</title>
<author><name sortKey="Balandier, T" sort="Balandier, T" uniqKey="Balandier T" first="T." last="Balandier">T. Balandier</name>
</author>
<author><name sortKey="Caminada, A" sort="Caminada, A" uniqKey="Caminada A" first="A." last="Caminada">A. Caminada</name>
</author>
<author><name sortKey="Lemoine, V" sort="Lemoine, V" uniqKey="Lemoine V" first="V." last="Lemoine">V. Lemoine</name>
</author>
<author><name sortKey="Alexandre, F" sort="Alexandre, F" uniqKey="Alexandre F" first="F." last="Alexandre">F. Alexandre</name>
</author>
</analytic>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>field strength</term>
<term>mobile communication</term>
<term>multi-layer perceptron</term>
<term>neural network</term>
<term>prediction</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en" wicri:score="2286">The problem of field strengh prediction is mainly characterised by an incomplete specification due to the stochastic nature of the encountered environments. The neural mechanisms appear to be very outstanding in this difficult context, even though, until now this approach has rarely been tested in this domain. In this paper, new kinds of semi-empirical models of field strength prediction are constructed by using different Multi-Layer Perceptron architectures. This approach expects to overcome some of the limitations inherent in existing semi-empirical models\, : linear behaviour of the statistical analysis used in the construction of the models, low degree of freedom of the models due to the number of their parameters and unfitness for learning new situations.</div>
</front>
</TEI>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Main/Merge
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 00CD11 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Merge/biblio.hfd -nk 00CD11 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Lorraine |area= InforLorV4 |flux= Main |étape= Merge |type= RBID |clé= CRIN:balandier95a |texte= Multi-Layer Perceptron for Field Strenght Prediction in Cellular Network Design }}
![]() | This area was generated with Dilib version V0.6.33. | ![]() |