409 search results - page 5 / 82 » Representation of Functional Data in Neural Networks |
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
The class of piecewise linear homeomorphisms (PLH) provides a convenient functional representation for many applications wherein an approximation to data is required that is inver...
CIS
2008
Springer
15 years 2 days 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...
NIPS
1990
14 years 11 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
COGSR
2011
14 years 5 months ago
2011
Methods for cleaning up (or recognizing) states of a neural network are crucial for the functioning of many neural cognitive models. For example, Vector Symbolic Architectures pro...
ICANN
2007
Springer
15 years 4 months ago
2007
Springer
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...