Artificial Neural Network
Mostrando 13-24 de 435 artigos, teses e dissertações.
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13. Artificial neural network for determining the hedonic score of texture of and distinguishing different grades of ham sausages
Abstract The preference of consumers of ham sausages is mainly determined on its texture. A method of determining hedonic score of texture and distinguishing different grades of ham sausages based on artificial neural network was established in this study. The topological texture of the artificial neural network was developed on the basis of analyzing the ha
Food Sci. Technol. Publicado em: 13/12/2019
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14. Prediction of restrained shrinkage crack width of slag mortar composites using data mining techniques
ABSTRACT The purpose of this study is to develop data mining models to predict restrained shrinkage crack widths of slag mortar cementitious composites. A database published by BILIR et al. [1] was used to develop these models. As a modelling tool R environment was used to apply these data mining (DM) techniques. Several algorithms were tested and analyzed u
Matéria (Rio J.). Publicado em: 25/11/2019
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15. Breast Cancer Prediction Using Dominance-based Feature Filtering Approach: A Comparative Investigation in Machine Learning Archetype
Abstract Breast cancer is the most commonly witnessed cancer amongst women around the world. Computer aided diagnosis (CAD) have been playing a significant role in early detection of breast tumors hence to curb the overall mortality rate. This work presents an enhanced empirical study of impact of dominance-based filtering approach on performances of variou
Braz. arch. biol. technol.. Publicado em: 25/11/2019
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16. 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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17. Semi-automated counting model for arbuscular mycorrhizal fungi spores using the Circle Hough Transform and an artificial neural network
Abstract: Arbuscular Mycorrhizae (AM) are mutualistic associations between Arbuscular Mycorrhizal Fungi (AMF) and the roots of many plant species. AMF spores give rise to filaments that develop in the root system of plants and contribute to the absorption of water and some nutrients. This article introduces a semi-automated counting model of AMF spores in sl
An. Acad. Bras. Ciênc.. Publicado em: 21/10/2019
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18. Review of Power Device for Solar-Powered Aircraft Applications
ABSTRACT This paper reviews various power device components of solar-powered aircraft such as photovoltaic (PV) cells, maximum power point tracker (MPPT) and rechargeable batteries. The various power device components were highlighted, and the ones applicable to aircraft were analyzed, based on criteria as efficiency for photovoltaic cells; energy densities
J. Aerosp. Technol. Manag.. Publicado em: 10/10/2019
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19. Modeling of tree recruitment by artificial neural networks after wood harvesting in a forest in eastern Amazon rain forest
Resumo A modelagem do recrutamento em florestais tropicais é importante para estudos de sustentabilidade do manejo florestal, por dar subsídio adequado à recuperação do estoque de madeira. O objetivo do trabalho foi estimar o recrutamento após a colheita de madeira, empregando um modelo de rede neural artificial (RNA). A área de estudo está localizad
Ciênc. Florest.. Publicado em: 30/09/2019
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20. ARTIFICIAL NEURAL NETWORKS APPLIED IN FOREST BIOMETRICS AND MODELING: STATE OF THE ART (JANUARY/2007 TO JULY/2018)
ABSTRACT Artificial Intelligence has been an important support tool in different spheres of activity, enabling knowledge aggregation, process optimization and the application of methodologies capable of solving complex real problems. Despite focusing on a wide range of successful metrics, the Artificial Neural Network (ANN) approach, a technique similar to t
CERNE. Publicado em: 09/09/2019
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21. MODELING AND SIMULATING LAND USE/COVER CHANGE USING ARTIFICIAL NEURAL NETWORK FROM REMOTELY SENSING DATA
ABSTRACT Increasing population, mobility and requirements of human beings have significant effects on the dynamics of land use and land cover. Today, these impacts need to be understood and analyzed for the applicability of decision support systems, which are an important tool in the management of natural resources, urban and rural areas. The aim of this stu
CERNE. Publicado em: 09/09/2019
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22. Proposal of automated computational method to support Virginia tobacco classification
RESUMO Este artigo propõe um método automático para classificação de folhas de tabaco curado. Tipicamente este processo é realizado de modo manual, possibilitando erros humanos. Aliado a isso, a existência de um procedimento comparativo automatizado, auxiliando na realização da classificação, poderá tornar tal processo mais rápido e transparente
Rev. bras. eng. agríc. ambient.. Publicado em: 09/09/2019
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23. Simulation and Prediction for a Satellite Temperature Sensors Based on Artificial Neural Network
ABSTRACT: Spacecrafts in space environment are exposed to several kinds of thermal sources such as radiation, albedo and emitted IR from the earth. The thermal control subsystem in spacecraft is used to keep all parts operating within allowable temperature ranges. A failure in one or many temperature sensors could lead to abnormal operation. Consequently, a
J. Aerosp. Technol. Manag.. Publicado em: 26/08/2019
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24. MANNGA: A Robust Method for Gap Filling Meteorological Data
Resumo Este trabalho apresenta o método Mannga (Multiple variables with Artificial Neural Network and Genetic Algorithm), desenvolvido para preencher falhas em dados meteorológicos. A ideia principal é preencher as falhas baseando-se nos valores de outras variáveis meteorológicas medidas no mesmo momento, uma vez que as variáveis meteorológicas possue
Rev. bras. meteorol.. Publicado em: 05/08/2019