Artificial Neural Net
Mostrando 1-12 de 33 artigos, teses e dissertações.
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1. 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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2. 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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3. 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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4. 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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5. 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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6. 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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7. 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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8. 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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9. On cognition, adaptation and homeostasis : analysis and synthesis of bio-inspired computational tools applied to robot autonomous navigation / Sobre cognição, adaptação e homeostase : uma analise de ferramentas computacionais bioinspiradas aplicadas a navegação autonoma de robos
The objectives of this work are to study, develop and apply two bio-inspired computational tools in robot autonomous navigation. The first tool is represented by Learning Classifier Systems, using the strength-based and the accuracy-based models. Additionally, the rule evolution mechanisms and the final evolved populations are analyzed. The second tool is a
Publicado em: 2008
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10. 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
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11. Preparation of rankings through the use of structured techniques: an application in the sector of private insurance / Elaboração de rankings por meio do uso de técnicas estruturadas: uma aplicação no setor de seguros privados
The demand for methodologies and procedures to classify companies that have some characteristics in common and that are part of the same activity sector has instigated researchers to evaluate alternatives that represent the real situation according to their performance as business units, by making use of reduced amount of subjectivity in the performance judg
Publicado em: 2008
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12. Uma análise da aplicação do modelo de Rede Neural RePART em Comitês de classificadores
RePART (Reward/Punishment ART) is a neural model that constitutes a variation of the Fuzzy Artmap model. This network was proposed in order to minimize the inherent problems in the Artmap-based model, such as the proliferation of categories and misclassification. RePART makes use of additional mechanisms, such as an instance counting parameter, a reward/puni
Publicado em: 2008