298 search results - page 13 / 60 » Optimizing number of hidden neurons in neural networks |
ICAISC
2004
Springer
14 years 1 months ago
2004
Springer
Scatterograms of the images of training set vectors in the hidden space help to evaluate the quality of neural network mappings and understand internal representations created by t...
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
IJON
2002
13 years 7 months ago
2002
We consider the origin of the high-dimensional input space as a variable which can be optimized before or during neuronal learning. This set of variables acts as a translation on ...
ICANN
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. We develop a probabilistic interpretation of non-linear component extraction in neural networks that activate their hidden units according to a softmaxlike mechanism. On ...
SBRN
1998
IEEE
14 years 3 days ago
1998
IEEE
In this paper we investigate alternative designs of a Radial Basis Function Network acting as classifier in a face recognition system. Input to the RBF network is the projections ...