Recurrent Neural Network
Mostrando 13-23 de 23 artigos, teses e dissertações.
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13. Improving the power consumption in pneumatic conveying systems by a daptive control of the flow regime
The pneumatic conveying of solids in a gas stream is a recurrent process in petrochemical industries. However, due to practical limitations the majority of existing systems have capacities ranging from 1 to 400 tones per hour over distances less than 1000 m, mainly because of a high power consumption per transported unit mass. More specifically, to avoid the
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2003-12
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14. Recurrent neural network approaches for biped walking robot based on zero-moment point criterion
The main objective of this paper is to use a recurrent neural network (RNN) to determine the trunk motion for a biped-walking machine, based on the zero-moment point (ZMP) criterion. ZMP criterion can be used to plan a stable gait for a biped-walking machine that has a trunk (inverted pendulum). So, a RNN is trained to determine a compensative trunk motion t
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2003-03
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15. Redes neurais fuzzy aplicadas em identificação e controle de sistemas
This work compares the performance of neural fuzzy, neural network and fuzzy systems, to model and control non-linear dynamical systems. Due to the need of temporal representations, two recurrent neural fuzzy networks are proposed based on an hybrid static neural fuzzy architecture. Temporal processing is induced by local and global recurrence in the hidden
Publicado em: 2003
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16. Equalização não-linear de canais de comunicação. / Non-linear equalization on communication channels.
É investigado o uso de redes neurais aplicadas à equalização de canais de comunicação, sendo consideradas três tipos de redes: MLP (Multilayer Perceptron), RBF (Radial Basis Function) e RNN (Recurrent Neural Network). Os equalizadores não-lineares baseados nestas redes foram comparados com o equalizador linear transversal e com os equalizadores ótim
Publicado em: 2001
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17. Evaluation of drying and degradation kinetics using neurocomputing
Application of artificial neural network (ANN) in chemical engineering with special reference to drying process is discussed in the paper. Two types of networks: RBF and MLP, which are important for the description of a process dynamics, are presented. As an example drying and degradation of ascorbic acid in agricultural products are considered. The final co
Brazilian Journal of Chemical Engineering. Publicado em: 2000-12
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18. Detecção e diagnostico de falhas em sistemas dinamicos utilizando redes neurais e logica nebulosa
Fault detection and diagnosis methods have been intensively studied lately, as a result of the demand for systems of greater reliability. In this work, computational intelligence methods were adopted, in a configuration that uses artificial neural networks and fuzzy logic for monitoring dynamic systems represented by state-space models of adequate dimension.
Publicado em: 1999
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19. Redes neurais e logica formal em processamento de linguagem natural
This dissertation is about Natural Language Processing (NLP). NLP consists of a series of tasks the machine should carry out in analysing a texto In literature, there are papers having different approaches. This work combines two approaches: based on logic and connectionism. The proposed work is divided in three parts. The first makes the parsing, or the syn
Publicado em: 1993
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20. Primacy Versus Recency in a Quantitative Model: Activity Is the Critical Distinction
Behavioral and neurobiological evidence shows that primacy and recency are subserved by memory systems for intermediate- and short-term memory, respectively. A widely accepted explanation of recency is that in short-term memory, new learning overwrites old learning. Primacy is not as well understood, but many hypotheses contend that initial items are better
Cold Spring Harbor Laboratory Press.
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21. 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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22. γ-Aminobutyric acid type B receptor-dependent burst-firing in thalamic neurons: A dynamic clamp study
Synchronized network responses in thalamus depend on phasic inhibition originating in the thalamic reticular nucleus (nRt) and are mediated by the neurotransmitter γ-aminobutyric acid (GABA). A suggested role for intra-nRt connectivity in inhibitory phasing remains controversial. Recently, functional GABA type B (GABAB) receptors were demonstrated on n
The National Academy of Sciences of the USA.
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23. Synaptic behaviour of myenteric neurones in the gastric corpus of the guinea-pig.
1. Synaptic behaviour of ganglion cells in the myenteric plexus of the corpus of the guinea-pig stomach was investigated using intracellular recording methods. Synaptic potentials were evoked by focal electrical stimulation of interganglionic fibre tracts or the surface of the ganglion containing the cell body from which the recording was obtained. 2. Fast e