Artificial Neural Structures
Mostrando 1-12 de 27 artigos, teses e dissertações.
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1. ALTERNATIVES TO ESTIMATE THE VOLUME OF INDIVIDUAL TREES IN FOREST FORMATIONS IN THE STATE OF MINAS GERAIS, BRAZIL
ABSTRACT The objective of this study was to compare different alternatives to estimate the stem volume of individual trees in four different forest formations in the Minas Gerais state, Brazil. The data were obtained in a forest inventory procedure performed by the Minas Gerais Technological Center Foundation. The stem volumes were computed by the Smalian ex
CERNE. Publicado em: 2020-09
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2. MULTILEVEL NONLINEAR MIXED-EFFECTS MODEL AND MACHINE LEARNING FOR PREDICTING THE VOLUME OF Eucalyptus SPP. TREES
ABSTRACT Volumetric equations is one of the main tools for quantifying forest stand production, and is the basis for sustainable management of forest plantations. This study aimed to assess the quality of the volumetric estimation of Eucalyptus spp. trees using a mixed-effects model, artificial neural network (ANN) and support-vector machine (SVM). The datab
CERNE. Publicado em: 2020-03
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3. A quantitative relationship between Tgs and chain segment structures of polystyrenes
Abstract The glass transition temperature (Tg) is a fundamental characteristic of an amorphous polymer. A quantitative structure-property relationship (QSPR) based on error back-propagation artificial neural network (ANN) was constructed to predict Tgs of 107 polystyrenes. Stepwise multiple linear regression (MLR) analysis was adopted to select an optimal su
Polímeros. Publicado em: 2017-03
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4. Recent Developments in Damage Identification of Structures Using Data Mining
Abstract Civil structures are usually prone to damage during their service life and it leads them to loss their serviceability and safety. Thus, damage assessment can guarantee the integrity of structures. As a result, a structural damage detection approach including two main components, a set of accelerometers to record the response data and a data mining (
Lat. Am. j. solids struct.. Publicado em: 2017
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5. Vertical force calibration of smart force platform using artificial neural networks
INTRODUCTION: The human body may interact with the structures and these interactions are developed through the application of contact forces, for instance due to walking movement. A structure may undergo changes in the dynamic behaviour when subjected to loads and human bodies. The aim of this paper is to propose a methodology using Artificial Neural Network
Rev. Bras. Eng. Bioméd.. Publicado em: 2014-12
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6. PROGRAMAÇÃO GENÉTICA, REDES NEURAIS ARTIFICIAIS E TÉCNICAS DE BALANCEAMENTO NA MODELAGEM DE DADOS AGRÍCOLAS: ESTUDO DA DOENÇA MOFO BRANCO
Data regression problems are common in the literature, therein it is desired to infer the relationship between the dependent (output) and independent variable (input) from a dataset. Infer the relationship between variables is not a simple task, many times there is a high non-linearity and noise in the data inside them. Two machine learning techniques that a
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/08/2012
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7. Aplicação de redes neurais artificiais no processo de ajuste de histórico / Application of artificial neural networks in the history matching process
The history matching process is one of the most important stages involving studies of reservoirs, because with the adjusted reservoir model, the production forecasts can be done with higher reliability and different production strategies can be evaluated to obtain greater final recovery associated with less costs. However, this process have several problems
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/05/2012
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8. Optimization of laminated composite plates and shells using genetic algorithms, neural networks and finite elements
Structural optimization using computational tools has become a major research field in recent years. Methods commonly used in structural analysis and optimization may demand considerable computational cost, depending on the problem complexity. Therefore, many techniques have been evaluated in order to diminish such impact. Among these various techniques, Art
Latin American Journal of Solids and Structures. Publicado em: 2011
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9. Desconvolução não supervisionada por filtros de erro de predição não lineares e recorrentes e sistemas imunologicos artificiais / Unsupervised deconvolution by nonlinear recurrent prediction-error filters and artificial immune systems
When data is transmitted trough a channel, it may be subject to several sorts of distortion that might cause unacceptable level of degradation. A very usual type of distortion is the intersymbol interference ,which is a consequence of the temporal spread of the information-bearing signal .To mitigate this interference ,it is usual to employ an equalizer ,whi
Publicado em: 2010
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10. Ensaios de ondas ultrassônicas e redes neurais artificiais na avaliação da resistência à compressão do concreto
Stripping of formworks in reinforced concrete structures can only be done when concrete is hardened enough to carry the loads without generating unacceptable deformations. These are two important demands from Brazilian Code NBR 14931-2004. To get those conditions the structural design engineer should inform the building engineer the minimum values of compres
Publicado em: 2010
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11. Otimização de estruturas de materiais compósitos laminados, baseada em confiabilidade, utilizando algoritmos genéticos e redes neurais artificiais / Reliability based design optimization of composite structures using genetic algorithms and artificial neural networks
A resistência e a rigidez de materiais compósitos variam consideravelmente devido a mudanças no tipo de material, espessura das camadas, ângulo de orientação das fibras e seqüência das lâminas. O projeto de uma estrutura ótima pode ser obtido dada uma determinada condição de carga. Vários métodos de otimização determinísticos foram desenvolv
Publicado em: 2010
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12. Geomagnetic DST index forecast using artificial neural networks and decision tree / Previsão do índice geomagnético dst utilizando redes neurais artificiais e árvore de decisão
The Earth suffers constant influence of the solar activity through the solar wind, which brings with it the resulting structures, mainly phenomena like solar flares and coronal mass ejection. The almost static interaction between the solar wind and the geomagnetic field forms a structure called magnetosphere, which acts as a shield that protects the planet f
Publicado em: 2009