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» Modeling spiking neural networks
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NN
1998
Springer
15 years 5 months ago
Distributed ARTMAP: a neural network for fast distributed supervised learning
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...
NPL
2011
14 years 9 months ago
A Neural Network Scheme for Long-Term Forecasting of Chaotic Time Series
The accuracy of a model to forecast a time series diminishes as the prediction horizon increases, in particular when the prediction is carried out recursively. Such decay is faster...
Pilar Gómez-Gil, Juan Manuel Ramírez...
165
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INTERSPEECH
2010
15 years 1 months ago
Comparison of HMM and TMDN methods for lip synchronisation
This paper presents a comparison between a hidden Markov model (HMM) based method and a novel artificial neural network (ANN) based method for lip synchronisation. Both model type...
Gregor Hofer, Korin Richmond
ISNN
2005
Springer
15 years 11 months ago
Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation
The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and tr...
Yingjie Yang, David Gillingwater, Chris J. Hinde
ICPPW
2003
IEEE
15 years 11 months ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta