Uporaba umetnih nevronskih mrež za oceno trdnosti lesenih elementov

Abstract

Keywords

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Language:	Slovenian
Year of publishing:	2008
Source:	Ljubljana
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FGG - Faculty of Civil and Geodetic Engineering
Publisher:	[N. Šinkovec]
UDC:	004:624.011.1:624.07(043.2)
COBISS:	3973985
Views:	2015
Downloads:	920
Average score:	0 (0 votes)
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Secondary language:	English
Secondary title:	The use of artificial neural networks for timber strenght estimation
Secondary abstract:	In design of various ingeneering structures structural material together with proper planning and construction realisation is of key importance. Structural material should have satisfactory strength that enables a proper load carrying capacity. To determine the characteristics of wooden elements destructive and nondestructive methods are used. In destructive methods the tested materials are loaded until failure occurs. Artificial neural networks have been used in this diploma thesis to estimate the strength of structural timber. 293 wooden speciments were taken into consideration. For all specimens the density and seven elastic modules were measured by indestructive testing methods and the strength was based on the destructive method. 250 specimens were randomly chosen for the training of artificial networks and 43 were left for testing procedure. Five examples, in which different input data is used, were taken into closer consideration, the fifth example also considers different output data. For generating and learning of neural networks two programs were used: (i) a fortran code NRT2003 and (ii) code based on Neural Network Library in Matlab. The efficiency of various naural networks is compared through several statistical quantities. The effect of data dissipation is also considered and a method for data integration is presented.
Secondary keywords:	artificial neural networks;data dissipation;characteristics of timber;strength of structural timber;
File type:	application/pdf
Type (COBISS):	Undergraduate thesis
Thesis comment:	Univ. v Ljubljani, Fak. za gradbeništvo in geodezijo
Pages:	X f., 81 str., priloge na priloženem CD
Type (ePrints):	thesis
Title (ePrints):	Uporaba umetnih nevronskih mrež za oceno trdnosti lesenih elementov
Keywords (ePrints):	gradbeništvo;diplomska dela;UNI;Konstrukcijska smer;umetne nevronske mreže;raztros podatkov;karakteristike lesa;trdnost lesa;
Keywords (ePrints, secondary language):	artificial neural networks;data dissipation;characteristics of timber;strength of structural timber;
Keywords (ePrints, secondary language):	artificial neural networks;data dissipation;characteristics of timber;strength of structural timber;
ID:	8311103