305 search results - page 30 / 61 » Introduction to Neural Networks for C |
NN
2006
Springer
13 years 7 months ago
2006
Springer
We introduce a new learning algorithm for topographic map formation of Edgeworth-expanded Gaussian activation kernels. In order to avoid the rapid increase in kernel parameters, a...
NN
2006
Springer
13 years 7 months ago
2006
Springer
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
TNN
1998
13 years 7 months ago
1998
—This paper presents a compression scheme for digital still images, by using the Kohonen’s neural network algorithm, not only for its vector quantization feature, but also for ...
JCNS
1998
13 years 7 months ago
1998
An analytical approach is presented for determining the response of a neuron or of the activity in a network of connected neurons, represented by systems of nonlinear ordinary stoc...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
— In this paper a clustering algorithm that learns the groups of synchronized spike trains directly from data is proposed. Clustering of spike trains based on the presence of syn...