715 search results - page 38 / 143 » Neural Network with Matrix Inputs |
ESANN
2003
13 years 10 months ago
2003
In this paper fully connected RTRL neural networks are studied. In order to learn dynamical behaviours of linear-processes or to predict time series, an autonomous learning algori...
ICC
2007
IEEE
14 years 3 months ago
2007
IEEE
— A matrix is described that transforms input vectors (blocks) of length (K − 2), consisting of digital PAM vector components, into output vectors (blocks) of length K. The mat...
NC
1998
13 years 10 months ago
1998
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
The problem of designing input signals for optimal generalization in supervised learning is called active learning. In many active learning methods devised so far, the bias of the...
NPL
2000
13 years 8 months ago
2000
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...