409 search results - page 1 / 82 » Representation of Functional Data in Neural Networks |
CORR
2007
Springer
13 years 4 months ago
2007
Springer
IJCAI
1997
13 years 6 months ago
1997
This paper presents an algorithm for extract ing propositions from trained neural networks. The algorithm is a decompositional approach which can be applied to any neural networ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Inspired by Hebb’s cell assembly theory about how the brain worked, we have developed a function localization neural network (FLNN). The main part of a FLNN is structurally t...
NN
2000
Springer
13 years 4 months ago
2000
Springer
This article gives an overview of the different functional brain imaging methods, the kinds of questions these methods try to address and some of the questions associated with fun...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
Deep autoencoder networks have successfully been applied in unsupervised dimension reduction. The autoencoder has a "bottleneck" middle layer of only a few hidden units, ...