Neural Net
Mostrando 1-12 de 64 artigos, teses e dissertações.
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1. Discrimination of pores and cracks in iron ore pellets using deep learning neural networks
Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is fundamental during the reduction process in blast furnaces, cracks are strongly detrimental to the mechanical strength. The usual image processing tools cannot automatically discriminate between these two types
REM, Int. Eng. J.. Publicado em: 2020-06
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2. REFERENCE EVAPOTRANSPIRATION FORECASTING BY ARTIFICIAL NEURAL NETWORKS
ABSTRACT: Evapotranspiration (ET) is the main component of water balance in agricultural systems and the most active variable of the hydrological cycle. In the literature, few studies have used the forecast the day before via Artificial Neural Networks (ANNs) for the northern region of São Paulo state, Brazil. Therefore, this aimed to predict the reference
Eng. Agríc.. Publicado em: 2017-12
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3. Spatial Interpolation of Rainfall Erosivity Using Artificial Neural Networks for Southern Brazil Conditions
ABSTRACT Water erosion is the process of disaggregation and transport of sediments, and rainfall erosivity is a numerical value that expresses the erosive capacity of rain. The scarcity of information on rainfall erosivity makes it difficult or impossible to use to estimate losses occasioned by the erosive process. The objective of this study was to develop
Rev. Bras. Ciênc. Solo. Publicado em: 19/09/2016
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4. Diversidade de fungos do solo da Mata Atlântica / Soil fungi diversity in the Atlantic Forest
A Mata Atlântica é reconhecida como área de prioridade de conservação na América do Sul, devido ao grande número de espécies endêmicas e constantes ameças à sua biodiversidade em decorrência da substituição da vegetação natural. Embora várias informações sobre a diversidade vegetal e animal estejam disponíveis, pouco se sabe sobre a diver
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/03/2012
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5. Digital soilscape mapping of tropical hillslope areas by neural networks
Geomorphometric variables are applied in digital soil mapping because of their strong correlation with the disposition and distribution of pedological components of the landscapes. In this research, the relationship between environmental components of tropical hillslope areas in the Rio de Janeiro State, Brazil, artificial neural networks (ANN), and maximum
Scientia Agricola. Publicado em: 2011-12
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6. Modelling evapotranspiration for reference crop and acid lime orchard based on regression and artificial neural network tecniques / Modelagem da evapotranspiração de referência e da evapotranspiração de limeira ácida com aplicação de técnicas de regressão e redes neurais artificiais
The main objective of this study was to test artificial neural networks (ANNs) of multilayer perceptron type (MLP) for estimating reference evapotranspiration, diffusive leaf conductance and crop evapotranspiration of a mature and irrigated citrus orchard. The ANNs were trained under conjugate gradient algorithm. The sigmoid and linear activation functions w
Publicado em: 2010
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7. SegmentaÃÃo e classificaÃÃo de padrÃes visuais baseadas em campos receptivos e inibitÃrios
The human visual system is one of the most fascinating mechanisms from nature. It is through the visual system that humans are able to accomplish their most basic tasks, like watching TV, until the most complexes ones, like making microscopic analysis in laboratories. Then, two models based on the behavior of the human visual system are proposed in this work
Publicado em: 2009
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8. Uma arquitetura multi-agente de balanceamento de carga para aplicação de objetos distribuídos / A multi-agent load balancing architecture for distribuited object applications
Considering the need for balancing distributed systems, we propose a load balancing service that operates on distributed object applications named MABal. MABal architecture analyses the load levels of nodes and, differently from other load balancing approaches, considers the network transfer during the communication of distributed objects at a use case execu
Publicado em: 2009
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9. Estudo de equilÃbrio de troca iÃnica de sistemas binÃrios e ternÃrios por meio de redes neurais / Ion exchange equilibrium of the binary and ternary systems using neural network and mass action law
In the majority of the applications of the process of ionic exchange in the chemical industry some ionic species are gifts that compete between itself for the active small sieges of the ionic exchanger. Therefore, the project of these systems requires an analysis of the coefficients of selectivity of ions gifts in the solution that determines the influence o
Publicado em: 2009
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10. Previsão de series de vazões com redes neurais artificiais e modelos lineares ajustados por algoritmos bio-inspirados / Forecast of seasonal streamflow series with artificial neural networks and linear models adjusted for bio-inspired algorithms
O Sistema Elétrico é um dos pilares do desenvolvimento tecnológico e industrial de uma nação. Dessa forma, é necessário gerir de uma maneira eficiente todos os recursos necessários para obtenção de energia elétrica. Os recursos hídricos se tornam essenciais já que o parque gerador brasileiro é predominantemente hidráulico. Neste contexto, o es
Publicado em: 2009
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11. Modelo de previsão de propriedades mecânicas de perfis estruturais laminados a quente: uma abordagem em redes neurais artificiais
The main objective of this work is to develop an empirical mathematical model used to predict the mechanical properties of hot rolled steel sections. This model is based in some production variables, including the rolling process and the steel chemical composition, using, as source, the production data bank. The methodology chosen is the Artificial Neural Ne
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 20/02/2008
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12. Um método de classificação em grupos de informações visando sua segurança
Na sociedade contemporânea, a informação e o conhecimento assumiram a importância de representar os ativos de maior valor, num cenário em que o espaço e o tempo, devido à tecnologia voltada à mobilidade, perderam a relevância e tornaram-se mais vulneráveis. Surgiram novos procedimentos e mecanismos destinados à segurança. A classificação das in
Publicado em: 2008