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» On the Use of Evidence in Neural Networks
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TNN
2008
88views more  TNN 2008»
15 years 1 months ago
A New Approach to Knowledge-Based Design of Recurrent Neural Networks
Abstract-- A major drawback of artificial neural networks (ANNs) is their black-box character. This is especially true for recurrent neural networks (RNNs) because of their intrica...
Eyal Kolman, Michael Margaliot
ESANN
2001
15 years 3 months ago
Rectified Gaussian distributions and the formation of local filters from video data
We investigate the use of an unsupervised artificial neural network to form a sparse representation of the underlying causes in a data set. By using fixed lateral connections that...
Emilio Corchado, Darryl Charles, Colin Fyfe
ICPR
2008
IEEE
16 years 3 months ago
Incremental classification of invoice documents
This paper deals with incremental classification and its particular application to invoice classification. An improved version of an already existant incremental neural network ca...
Hatem Hamza, Yolande Belaïd, Abdel Belaï...
ICANN
2007
Springer
15 years 8 months ago
Neurotransmitter Fields
Neurotransmitter fields differ from neural fields in the underlying principle that the state variables are not the neuron action potentials, but the chemical concentration of neuro...
Douglas S. Greer
FLAIRS
2004
15 years 3 months ago
Recurrent Neural Networks and Pitch Representations for Music Tasks
We present results from experiments in using several pitch representations for jazz-oriented musical tasks performed by a recurrent neural network. We have run experiments with se...
Judy A. Franklin