17 search results - page 1 / 4 » On the selection of weight decay parameter for faulty networ... |
TNN
2010
13 years 1 months ago
2010
The weight-decay technique is an effective approach to handle overfitting and weight fault. For fault-free networks, without an appropriate value of decay parameter, the trained ne...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
The paper studies the problem of distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and imperfect inter-sensor communication. We...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
Abstract— While the model parameters of many kernel learning methods are given by the solution of a convex optimisation problem, the selection of good values for the kernel and r...
ISCAS
2006
IEEE
14 years 1 months ago
2006
IEEE
—We describe a spiking neuronal network which allows local synaptic weights to be assigned to individual synapses. In previous implementations of neuronal networks, the biases th...
NIPS
1990
13 years 8 months ago
1990
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...