36 search results - page 2 / 8 » Taxonomy of Neural Transfer Functions |
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
—The backpropagation algorithm is a very popular approach to learning in feed-forward multi-layer perceptron networks. However, in many scenarios the time required to adequately ...
CIS
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
IJCAI
2007
13 years 6 months ago
2007
The goal of transfer learning is to use the knowledge acquired in a set of source tasks to improve performance in a related but previously unseen target task. In this paper, we pr...
ESANN
2000
13 years 6 months ago
2000
Neural nets are generally considered to be connected synaptically. However, the majority of information transfer in the brain may not be by synapses. Nonsynaptic diffusion neurotra...
ICDAR
1997
IEEE
13 years 9 months ago
1997
IEEE
The purpose of a document is to facilitate the transfer of information from its author to its readers. It is the author’s job to design the document so that the information it c...