440 search results - page 2 / 88 » Artificial Neural Network for Sequence Learning |
COLT
1991
Springer
13 years 8 months ago
1991
Springer
ICANN
2009
Springer
13 years 11 months ago
2009
Springer
The best recent supervised sequence learning methods use gradient descent to train networks of miniature nets called memory cells. The most popular cell structure seems somewhat ar...
IJCSS
2007
13 years 4 months ago
2007
In this paper, learning algorithm for a single multiplicative spiking neuron (MSN) is proposed and tested for various applications where a multilayer perceptron (MLP) neural netwo...
TSD
2010
Springer
13 years 2 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
AUSAI
2004
Springer
13 years 10 months ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...