Connectionist
Mostrando 13-24 de 27 artigos, teses e dissertações.
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13. Aplicação de análises estatística e neural para reconhecimento de sinais de odores
This work investigates the use of an electronic nose prototype for prognosis of Diabetes Mellitus. The work involves five main parts: (1) building of odors database by aroma sensors; (2) an evaluation of the odors database through multivariate statistics techniques;(3) use of Multilayer Perceptron (MLP) and Radial Basis Function (RBF) Artificial Neural Netwo
Publicado em: 2007
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14. Exploração de relações entre técnicas simbólicas e conexionistas da inteligência computacional. / Relations exploration between symbolic and connectionist techniques of computacional intelligence.
This work consists of a contribution to the area of Computational Intelligence, relating to some of its main techniques: Fuzzy Computing and Neural Computing. These techniques are being used to solve problems that are too complex for traditional algorithmic approach or mathematical modeling. However, these problems are solved easly with the apparatus that co
Publicado em: 2006
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15. Applications of bioinspired computing in bioinformatics : analyzing the role of genes and their interactions / Aplicações de computação bioinspirada em bioinformatica : investigando o papel dos genes e suas interações
This dissertation deals with genetic networks, the mechanism of control of gene activity in cells, under three different computational perspectives. Initially, as an engineering approach, a computational tool for inference of genetic networks is proposed, which is able to recover the static structure of these networks from experimental datasets. This systems
Publicado em: 2006
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16. SABIO : abordagem conexionista supervisionada para sumarização automatica de textos / SABIO : supervised connectionist approach to automatic text summarization
Propõe-se, neste projeto, a criação de uma ferramenta computacional para geração de novos sumários a partir de novos textos-fonte, por meio do uso de abordagem conexionista (Redes Neurais Artificiais). Dentre as contribuições que este trabalho pretende trazer à área de Processamento de Línguas Naturais, destaca-se a abordagem biologicamente mais p
Publicado em: 2005
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17. Sistema neural hÃbrido para reconhecimento de padrÃes em um nariz artificial / Hybrid neural system forpattern recognition in an artificial nose
This dissertation investigates the use of Hybrid Intelligent Systems in the pattern recognition system of an artificial nose. The work involves five main parts: (1) an evaluation of the odors database by a multivariate statistics technique; (2) a validation of the Time Delay Neural Networks in the odors recognition; (3) an evaluation of the Wavelet Transform
Publicado em: 2004
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18. Mapas auto-organizáveis na análise exploratória de dados geoespaciais multivariados / Self-organizing maps in the exploratory analysis of multivariate geospatial data
Os Mapas Auto-Organizáveis têm sido aplicados, com sucesso, em variados problemas de análise exploratória de dados multivariados, todavia, poucos são os trabalhos voltados para a análise de dados coletados para unidades espaciais definidas, como os dados produzidos por censos demográficos, aqui chamados genericamente por dados geoespaciais. Este traba
Publicado em: 2004
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19. Desenvolvimento de uma plataforma hÃbrida para descoberta de conhecimento em bases de dados
Artificial Neural Networks (ANN) have successfully been used in tasks as the mapping of complex functions and pattern recognition. This success is due to the ANN ability to make calculations of complicated and undetermined data, learn from examples, generalize the learned information, extract patterns and discover tendencies. Despite these advantages, it is
Publicado em: 2004
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20. Representação e aquisição de regras em sistemas conexionistas
This work addresses the problem of representing structured knowledge (as a set of rules) in connectionist systems. First, modular connectionist networks are studied. In this kind of network, groups of neurons may be associated with rule antecedents or consequents. Next, we show some ways by which these networks are associated with fuzzy logic concepts (neuro
Publicado em: 1995
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21. Impairments in verb morphology after brain injury: A connectionist model
The formation of the past tense of verbs in English has been the focus of the debate concerning connectionist vs. symbolic accounts of language. Brain-injured patients differ with respect to whether they are more impaired in generating irregular past tenses (take–took) or past tenses for nonce verbs (wug–wugged). Such dissociations have been taken as evi
The National Academy of Sciences.
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22. Unifying syntactic theory and sentence processing difficulty through a connectionist minimalist parser
Syntactic theory provides a rich array of representational assumptions about linguistic knowledge and processes. Such detailed and independently motivated constraints on grammatical knowledge ought to play a role in sentence comprehension. However most grammar-based explanations of processing difficulty in the literature have attempted to use grammatical rep
Springer Netherlands.
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23. A dynamical systems perspective on the relationship between symbolic and non-symbolic computation
It has been claimed that connectionist (artificial neural network) models of language processing, which do not appear to employ “rules”, are doing something different in kind from classical symbol processing models, which treat “rules” as atoms (e.g., McClelland and Patterson in Trends Cogn Sci 6(11):465–472, 2002). This claim is hard to assess in
Springer Netherlands.
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24. Predicting outcomes after liver transplantation. A connectionist approach.
OBJECTIVE: The authors sought to train an artificial neural network to predict early outcomes after orthotopic liver transplantation. SUMMARY BACKGROUND DATA: Reliable prediction of outcomes early after liver transplantation would help improve organ use and could have an impact on patient survival, but remains an elusive goal. Traditional multivariate models