1160 search results - page 6 / 232 » Dynamic Programming Algorithm for Training Functional Networ... |
MVA
2000
13 years 9 months ago
2000
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
ISNN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
JACIII
2008
13 years 8 months ago
2008
Abstract. One of the main functions of the traffic navigation systems is to find the optimal route to the destination. In this paper, we propose an iterative Q value updating algor...
ICMLA
2007
13 years 9 months ago
2007
Dynamic programming is introduced to quantize a continuous random variable into a discrete random variable. Quantization is often useful before statistical analysis or reconstruct...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
The use of entropy as a cost function in the neural network learning phase usually implies that, in the back-propagation algorithm, the training is done in batch mode. Apart from t...