Recurrent Neural Networks
Mostrando 1-12 de 30 artigos, teses e dissertações.
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1. Evaluation of scoliosis using baropodometer and artificial neural network
Abstract Introduction: One of the most recurrent pathologies in the spine is scoliosis. It occurs in the frontal plane and is formed by one or more curves in the spinal column. The scoliosis causes global postural misalignment in an individual. One of the modifications produced by postural misalignment is the way in which an individual distributes weight to
Res. Biomed. Eng.. Publicado em: 2017-06
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2. Inteligência computacional aplicada a modelagem de cargas não-lineares e estimação de contribuição harmônica
A distorção harmônica, dentre outras formas de poluição na rede de sistemas de energia, é um importante problema para as concessionárias. De fato, o aumento do uso de dispositivos não-lineares na indústria resultou em um aumento direto da distorção harmônica nos sistemas elétricos de potência nos últimos anos. Com isso, a modelagem destas carg
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 29/02/2012
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3. Previsão de séries temporais no varejo brasileiro: uma investigação comparativa da aplicação de redes neurais recorrentes de Elman / Forecasting time series in the Brazilian retail: a comparative investigation of the application of elman recurrent neural networks.
Neste trabalho foi explorada a aplicação de redes neurais recorrentes simples, também conhecidas como Redes de Elman, na previsão de três séries temporais mensais do varejo de bens e serviços no Brasil. As variáveis destas séries estão relacionadas com a demanda de produtos farmacêuticos, adubos, e tráfego aéreo. As previsões com Redes de Elman
Publicado em: 2011
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4. Desconvolução não supervisionada por filtros de erro de predição não lineares e recorrentes e sistemas imunologicos artificiais / Unsupervised deconvolution by nonlinear recurrent prediction-error filters and artificial immune systems
When data is transmitted trough a channel, it may be subject to several sorts of distortion that might cause unacceptable level of degradation. A very usual type of distortion is the intersymbol interference ,which is a consequence of the temporal spread of the information-bearing signal .To mitigate this interference ,it is usual to employ an equalizer ,whi
Publicado em: 2010
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5. Modeling techniques and processes control application based on Neural Networks with on-line adjustment using Genetic Algorithms
In this work a strategy is presented for the temperature control of the polymerization reaction of styrene in suspension in batch. A three-layer feed forward Artificial Neural Network was trained in an off-line way starting from a removed group of patterns of the experimental system and applied in the recurrent form (RNN) to a Predictive Controller based on
Brazilian Journal of Chemical Engineering. Publicado em: 2009-03
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6. Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural / Estudo e implementação de algoritmos inteligentes para detecção e classificação de falhas na medição de gás natural
This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is
Publicado em: 2009
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7. Métodos Neuronais para a Solução da Equação Algébrica de Riccati e o LQR / Neural methods for the solution of Equation Of algebraic Riccati and LQR
Apresenta-se nesta dissertação os resultados a respeito de dois métodos neuronais para a resolução da equação algébrica de Riccati(EAR), que tem varias aplicações, sendo principalmente usada pelos Regulador Linear Quadrático(LQR), controle H2 e controle H1. É apresentado a EAR real e simétrica e dois métodos baseados em uma rede neuronal direta
Publicado em: 2008
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8. 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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9. Recurrent neural nets for networks inference of gene interactions using Markov chains / Redes neurais recorrentes para inferência de redes de interação gênica utilizando cadeias de Markov
Array technologies have made it strainghtforward to simultaneously monitor the expression pattern of thousands of genes. Thus, a lot fot data is being generated and the challenge now is to discover how to extract useful information from these data sets. Microarray data is highly specialized. It involves several variables in a nonlinear and temporal way, dema
Publicado em: 2007
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10. QUANTUM-INSPIRED EVOLUTIONARY ALGORITHMS FOR PROBLEMS BASED ON NUMERICAL REPRESENTATION / ALGORITMOS EVOLUTIVOS COM INSPIRAÇÃO QUÂNTICA PARA PROBLEMAS COM REPRESENTAÇÃO NUMÉRICA
Since they were proposed as an optimization method, the evolutionary algorithms have been successfully used for solving complex problems in several areas such as, for example, the automatic design of electronic circuits and equipments, task planning and scheduling, software engineering and data mining, among many others. This success is due, among many other
Publicado em: 2007
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11. Regulagem em tempo-real de um sistema integrado de semáforos : uma aplicação de redes neurais recorrentes e controle adaptativo
Traffic light is a device for controlling traffic which, by means of colorful lights, alternates the right of vehicles to go across junctions of two or more roads, with the objective of improving the flow of vehicles, in terms of fluidity and safety. To do that, it is necessary for it to be well regulated. The regulation of traffic lights aims at establishin
Publicado em: 2006
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12. Previsão de carga de curto prazo usando ensembles de previsores selecionados e evoluidos por algoritmos geneticos / Short-term load forecasting using esembles of selected and evolved predictors by genetic algorithms
This work proposes a methodology for short-term electric power load forecasting. This methodology is being widely used under the context of time series prediction and pattern recognition. It was named "ensembles" by the authors who developed it. This name carries the meaning of an assemblage of parts considered as forming a whole. Therefore, this name expres
Publicado em: 2006