Neural Networks Artificial Intelligence
Mostrando 1-12 de 102 artigos, teses e dissertações.
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1. Antecedent factors of violation of information security rules
Abstract Purpose This paper aims to investigate the influence of moral disengagement, perceived penalty, negative experiences and turnover intention on the intention to violate the established security rules. Design/methodology/approach The method used involves two stages of analysis, using techniques of structural equation modeling and artificial intellig
RAUSP Management Journal. Publicado em: 2022
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2. ARTIFICIAL NEURAL NETWORK-BASED METHOD TO IDENTIFY FIVE VARIETIES OF EGYPTIAN FABA BEAN ACCORDING TO SEED MORPHOLOGICAL FEATURES
ABSTRACT One of the new crop varieties that have been adopted for high yield is the Egyptian faba bean. However, poor-quality faba bean has reduced economic value. Quality evaluation is thus important and can be performed using computational intelligence. We developed a robust method based on morphological features and artificial neural network for quality g
Eng. Agríc.. Publicado em: 2020-12
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3. Open stope stability assessment through artificial intelligence
Abstract Underground mining is a set of methods that allows the extraction of ore in depth, ensuring sustainability and economic viability. One of the problems that arise in underground mine operations is open stope stability. The method for assessing stabil ity of open stopes is the stability graph proposed by Mathews et al. (1981). It is possible to estima
REM, Int. Eng. J.. Publicado em: 2020-09
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4. ARTIFICIAL NEURAL NETWORKS FOR PREDICTION OF PHYSIOLOGICAL AND PRODUCTIVE VARIABLES OF BROILERS
ABSTRACT Due to a number of factors involving the thermal environment of a broiler cutting installation and its interaction with the physiological and productive responses of birds, artificial intelligence has been shown to be an interesting methodology to assist in the decision-making process. For this reason, the main aim of this work was to develop an art
Eng. Agríc.. Publicado em: 2020-02
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5. 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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6. THE USE OF ARTIFICIAL INTELLIGENCE FOR ESTIMATING SOIL RESISTANCE TO PENETRATION
ABSTRACT The aim of this study was to present and to evaluate methodologies for the estimation of soil resistance to penetration (RP) using artificial intelligence prediction techniques. In order to do so, a data base with values of physical-water characteristics of the soils available in the literature was used, and the performances of Artificial Neural Net
Eng. Agríc.. Publicado em: 2018-01
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7. THE USE OF ARTIFICIAL INTELLIGENCE FOR THE PREDICTION OF PRODUCTIVITY PARAMETERS IN SWINE CULTURE
ABSTRACT In similar conditions of food handling and genetics, there are large differences in the final productivity of farms, resulting from inherent factors of the production system. This fact predisposes the need of studies on optimizing the rearing conditions of the farms, in order to verify the main limitations for the producers. Therefore, the present s
Pesqui. Oper.. Publicado em: 2016-04
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8. Algoritmo híbrido e inteligente para o diagnóstico das condições operativas de transformadores de potência no contexto da qualidade da energia elétrica / Hybrid intelligent algorithm for the diagnosis of operating conditions of power transformers in the context of power quality
This research aimed to develop an algorithm able to diagnose the operating conditions of power transformers. The variables considered to classify the presented conditions were the normally used by differential protection logic, i.e., the differential current and the harmonic content in the signals in analysis. Moreover, the relationship between some phenomen
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 12/07/2012
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9. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012
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10. 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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11. Estratégias de mapeamento digital de solos por redes neurais artificiais baseadas na relação solo-paisagem / Strategies for digital soil mapping by artificial neural networks based on soil-landscape
A escassez de informações do solo que permitam o seu uso adequado, seja para fins agrícola, ambiental ou de projeto urbanos, pode ser minimizada com soluções provenientes do desenvolvimento de novas tecnologias. Nesse sentido, o presente estudo teve como objetivo aplicar duas estratégias digitais para obtenção de mapas de solos preliminares em áreas
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 14/05/2012
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12. Algoritmos de inteligência computacional em instrumentação: uso de fusão de dados na avaliação de amostras biológicas e químicas / Computational intelligence algorithms for instrumentation: biological and chemical samples evaluation by using data fusion
Neste trabalho são apresentados métodos computacionais para o processamento de dados produzidos em sistemas de espectroscopia de impedância elétrica e sensoriamento a redes de Bragg em fibra óptica com o objetivo de inferir características das amostras analisadas. Sistemas de estimação e classificação foram desenvolvidos, utilizando os sinais isola
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 24/02/2012