Utilization of C# Neural Networks Library in Industry Applications

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86080843" target="_blank" >RIV/61989100:27240/11:86080843 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-642-22729-5_6" target="_blank" >http://dx.doi.org/10.1007/978-3-642-22729-5_6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-22729-5_6" target="_blank" >10.1007/978-3-642-22729-5_6</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Utilization of C# Neural Networks Library in Industry Applications

Popis výsledku v původním jazyce

Paper deal with a problems related to design and realization of application with the help of neural networks library, which is developed in object orientated programming language C#. This application classifies data that are obtained within industrial processes. Data used in this project was received during measurement of material diagnostics and its structural defects. Core of developed application is based on neural networks design, which is capable to classify whether the material has defect or not.Before classification itself it is necessary to set structural parameters of the neural network to obtain a good quality results. Afterwards application outputs are compared with outputs from Statistica programme, which is also used for classification purposes. Statistica uses for classification of the measured data algorithms of the artificial intelligence as well. Basically this project's aim is to substitute Statistica programme by application developed in C#.

Název v anglickém jazyce

Utilization of C# Neural Networks Library in Industry Applications

Popis výsledku anglicky

Paper deal with a problems related to design and realization of application with the help of neural networks library, which is developed in object orientated programming language C#. This application classifies data that are obtained within industrial processes. Data used in this project was received during measurement of material diagnostics and its structural defects. Core of developed application is based on neural networks design, which is capable to classify whether the material has defect or not.Before classification itself it is necessary to set structural parameters of the neural network to obtain a good quality results. Afterwards application outputs are compared with outputs from Statistica programme, which is also used for classification purposes. Statistica uses for classification of the measured data algorithms of the artificial intelligence as well. Basically this project's aim is to substitute Statistica programme by application developed in C#.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/1M0567" target="_blank" >1M0567: Centrum aplikované kybernetiky</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Communications in Computer and Information Science

ISSN

1865-0929

e-ISSN

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Svazek periodika

171 CCIS

Číslo periodika v rámci svazku

2011

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

12

Strana od-do

61-72

Kód UT WoS článku

000296263100006

EID výsledku v databázi Scopus

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