Influence of the structure on the possibilities of neural networks

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24210%2F15%3A00002791" target="_blank" >RIV/46747885:24210/15:00002791 - 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
Influence of the structure on the possibilities of neural networks
Original language description
The article briefly describes the possibilities and usage of neural networks. It further deals with the McCulloch-Pitts neuron artificial model. The article also focuses on the analysis of the architecture of neural networks with regard on the possibility of application. Among the described architectures there are preceptron, layered neural networks and long short term memory architecture. Further attention is paid to the issue of layered neural networks architecture and to the increase of computing demands in relation to the number of neurons in the hidden layers. The second monitored parameter is the number of hidden layers and its influence on the computing time of the neural network. The conclusion provides the measurements results of the computingtime speed of neural networks and evaluation of the achieved results.
Czech name
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Czech description
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Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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