Recurrent Neural Network
Mostrando 1-12 de 23 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. Methane combustion kinetic rate constants determination: an ill-posed inverse problem analysis
Methane combustion was studied by the Westbrook and Dryer model. This well-established simplified mechanism is very useful in combustion science, for computational effort can be notably reduced. In the inversion procedure to be studied, rate constants are obtained from [CO] concentration data. However, when inherent experimental errors in chemical concentrat
Quím. Nova. Publicado em: 2013
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3. 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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4. 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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5. Rede neural recorrente com perturbação simultânea aplicada no problema do caixeiro viajante / Recurrent neural network with simultaneous perturbation applied to traveling salesman problem
This work proposes to solve the classic combinatorial optimization problem known as traveling salesman problem. A recurrent neural network was used in the system of optimization to search the shorter path. The structural topology linking the feedbacks of the network adopted here is known by Wang recurrent network. As learning rule to find the appropriate val
Publicado em: 2008
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6. 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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7. 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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8. Conhecimento sintatico-semantico e processamento de sentenças em rede neural recorrente simples / Syntactic-semantic knowledge and sentence processing in a simple recurrent neural network
This dissertation begins with a retlection about the interdisciplinary roots of psycholinguistics, which is taken as the research field concemed with the investigation of the cognitive processes subjacent to the verbal behavior. This investigation employs different methods and techniques, given the complexity inherent to the study of processes that take plac
Publicado em: 2006
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9. Identificação de sistemas "on-line", otimização e controle avançado com o filtro de Kalman estendido / On line system identification, advanced control and optimization with the (Extended) Kalman filter
In the continuing competition between it will be more and more necessary to optimize current chemical processes in real time. To be able to optimize a plant in real time, there have to be various aspects to be fulfilled, such as measurement, reliability of the measurement and prediction of the process behaviour. In this work some of the aspects of such an ad
Publicado em: 2006
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10. Recurrent neural networks for prediction of short and long memory time series / Modelos de redes neurais recorrentes para previsão de series temporais de memorias curta e longa
Forecasting of time series is a topic of great interest nowadays. To do so, the data generating process needs to be estimated with a good degree of accuracy. In the last years, artificial neural networks are becoming more important in the statistical community. The more basic structure of a neural network, the feedforward neural nets, without feedback, can b
Publicado em: 2005
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11. Modelagem computacional de dados e controle inteligente no espaço de estado / State space computational data modelling and intelligent control
This study presents contributions for state space multivariable computational data modelling with discrete time invariant as well as with time varying linear systems. A proposal for Deterministic-Estocastica Modelling of noisy data, MOESP_AOKI Algorithm, is made. We present proposals forsolving the Discrete-Time Algebraic Riccati Equation as well as the asso
Publicado em: 2005
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12. Extração de conhecimento a partir de redes reurais recorrentes / knowledge extraction from recurrent neural networks
ln this work a method ofknowledge extraction from Recurrent Neural Network is proposed. Express formally the knowledge stored inside an Artificial Neural Network is a great challenge, because such knowledge has to be reformulated and presented by simple and understandable means. Three symbolic formats are presented for the representation of this knowledge: F
Publicado em: 2004