Utilization of Artificial Neuron Networks to Predict Leaking Firedamps from Underground

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F14%3A86091842" target="_blank" >RIV/61989100:27350/14:86091842 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Utilization of Artificial Neuron Networks to Predict Leaking Firedamps from Underground

Popis výsledku v původním jazyce

This monograph is focused on designing and realizing an underlying area model using artificial neural networks. A method of artificial neural networks to create a model of underlying rocks was chosen in default of extract information on the underlying rock structure at risk areas. The main objective of this model is to predict firedamp leakage from underground, based on data measured at the surface of the risk area. This makes it possible to create very accurate prediction system that can be used for effective management of hazardous mine gas extraction and thereby ensure better protection of persons and property. The monograph describes in detail the used method of neural networks and also briefly describes other methods that were used in the modelingof this issue. However, these methods are applicable only to very limited cases and it is reason why only the method utilization of artificial neural networks is described in detail.

Název v anglickém jazyce

Utilization of Artificial Neuron Networks to Predict Leaking Firedamps from Underground

Popis výsledku anglicky

This monograph is focused on designing and realizing an underlying area model using artificial neural networks. A method of artificial neural networks to create a model of underlying rocks was chosen in default of extract information on the underlying rock structure at risk areas. The main objective of this model is to predict firedamp leakage from underground, based on data measured at the surface of the risk area. This makes it possible to create very accurate prediction system that can be used for effective management of hazardous mine gas extraction and thereby ensure better protection of persons and property. The monograph describes in detail the used method of neural networks and also briefly describes other methods that were used in the modelingof this issue. However, these methods are applicable only to very limited cases and it is reason why only the method utilization of artificial neural networks is described in detail.

Druh

B - Odborná kniha

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

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

ISBN

978-80-553-1842-4

Počet stran knihy

104

Název nakladatele

Technická univerzita v Košiciach, Slovakia

Místo vydání

Košice

Kód UT WoS knihy

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