Self Organizing Neural Networks
Mostrando 1-12 de 43 artigos, teses e dissertações.
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1. THE INFLUENCE OF THE FILM FORMED ON THE PRATO CHEESE SURFACE DURING THE NACL AND KCL SALTING PROCESS: APPLICATION OF THE FINITE ELEMENT METHOD AND NEURAL NETWORKS OF THE SELF-ORGANIZING MAP (SOM) AND MULTILAYER PERCEPTRON (MLP) TYPES
Sodium chloride is used in the cheese salting process as it promotes sensory changes and food preservation. However, in excess can cause hypertension problems, and for this reason, it has been partially replaced by potassium chloride. In the present work, Prato cheese was subjected to joint diffusion of NaCl and KCl by immersion in static and stirred brine.
Química Nova. Publicado em: 2022
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2. 3D Simulation and Artificial Neural Networks Application in the Diffusion Study of Champignon Mushroom/Solution Interface During the Salting
The influence of the film formed during the salting of champignon mushrooms with brine containing NaCl and KCl was modeled using the finite elements method (FEM). It was verified that the film formed on the mushroom surface had a greater influence in the static salting since the diffusion of the ions was 7.5-fold smaller in this system than in the stirred sa
Journal of the Brazilian Chemical Society. Publicado em: 2022
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3. High genetic differentiation of grapevine rootstock varieties determined by molecular markers and artificial neural networks
ABSTRACT. The genetic differentiation of grapevine rootstock varieties was inferred by the Artificial Neural Network approach based on the Self-Organizing Map algorithm. A combination of RAPD and SSR molecular markers, yielding polymorphic informative loci, was used to determine the genetic characterization among the rootstock varieties 420-A, Schwarzmann, I
Acta Sci., Agron.. Publicado em: 21/10/2019
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4. Mapeamento dos aspectos hidrogeoquímicos de águas subterrâneas a partir de estatística multivariada e redes neurais artificiais
RESUMO O objetivo central deste trabalho foi realizar o mapeamento dos aspectos hidrogeoquímicos de águas subterrâneas usando a estatística multivariada e redes neurais artificiais como subsídio para identificação de padrões espaciais. Para tal, foi executado um estudo de caso em aquíferos no município de Lençóis, Bahia, na região da Chapada Dia
Eng. Sanit. Ambient.. Publicado em: 05/08/2019
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5. SSR-based genetic analysis of sweet corn inbred lines using artificial neural networks
Abstract Studies on genetic diversity and population structure provide basic information at the molecular level, which is a key input for breeding programs of crop species. This study evaluated the genetic diversity of 12 elite lines of sweet corn, using 20 microsatellite markers. To determine the genetic differentiation among lines, we used an artificial ne
Crop Breed. Appl. Biotechnol.. Publicado em: 2018-09
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6. Modelos lineares locais para identificaÃÃo de sistemas dinÃmicos usando redes neurais competitivas / LOCAL LINEAR MODELS FOR IDENTIFICATION OF DYNAMICAL SYSTEMS USING COMPETITIVE NEURAL NETWORKS
Nesta tese aborda-se o problema de identificaÃÃo de sistemas dinÃmicos sobre a Ãtica dos modelos locais, em que o espaÃo de entrada à particionado em regiÃes de operaÃÃo menores sobre as quais sÃo construÃdos modelos de menor complexidade (em geral, lineares). Este tipo de modelo à uma alternativa aos chamados modelos globais em que a dinÃmica d
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/02/2012
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7. Redes neurais aplicadas ao estudo de rochas reservatório / Neural networks applied to the study of reservoir rocks
A caracterização de reservatórios é um trabalho complexo, que envolve muitas variáveis com informações em diferentes escalas. Para minimizar incertezas, este trabalho propõe a utilização de redes neurais artificiais, algoritmo computacional inspirado no funcionamento cerebral que mapeia, agrupa e prevê informações a partir de reconhecimento de p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 27/02/2012
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8. Self-organizing maps and VolSurf approach to predict aldose reductase inhibition by flavonoid compounds
Aldose Reductase (AR) is the polyol pathway key enzyme which converts glucose to sorbitol. High glucose availability in insulin resistant tissues in diabetes leads into an accumulation of sorbitol, which has been associated with typical chronic complications of this disease, such as neuropathy, nephropathy and retinopathy. In this study, 71 flavonoids AR inh
Revista Brasileira de Farmacognosia. Publicado em: 04/03/2011
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9. Desenvolvimento de um sistema de manutenção inteligente embarcado
The technological evolution of sensors, electronics, and embedded systems has improved the performance, reliability and robustness of systems as well the maintenance activities, especially the proactive maintenance. These technological advances have provided a new view about the existing maintenance practices. The expansion of signal processing and artificia
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 2011
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10. O uso de redes neurais auto-organizÃveis na anÃlise da transferÃncia de conhecimentos prosÃdico em aprendizes brasileirios de lÃngua inglesa / The use of self-organizing artificial neural networks for the analysis of prosodic knowledge in Brazilian learner of English
The objective of this dissertation was to investigate how the prosodic knowledge is organized in an early stage of L2 acquisition in Brazilian learners of English with the help of a connectionist neural network. The approach proposed in this research is first, to quantify the utterances of L2 learners in the form of LPC coefficients and other linguistic/phon
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/10/2010
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11. Emprego de técnicas de clusterização para gestão tributária do solo urbano: um estudo de caso aplicado à cidade de Fortaleza. / Use of clustering techniques for urban land tax management: a case study applied to the city of Fortaleza.
O presente trabalho busca empregar técnicas de clusterização para identificar distorções tributárias causadoras de evasão fiscal, fornecendo embasamento para a correção, o controle e a minimização da ocorrência de inconsistências em bancos de dados técnicos imobiliários. Estudadas algumas redes neurais, a Rede Neural de Kohonen, também conhec
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 31/05/2010
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12. On the application of self-organizing neural networks in gas-liquid and gas-solid flow regime identification
One of the main problems associated with the transport and manipulation of multiphase flow is the existence of flow regimes, which have a strong influence on important parameters of operation. An example of this occurs in gas-liquid chemical reactors in which maximum coefficients of reaction can be attained by keeping a dispersed-bubbly flow regime to maximi
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2010-03