715 search results - page 9 / 143 » Neural Network with Matrix Inputs |
NIPS
1993
13 years 10 months ago
1993
The non-linear complexities of neural networks make network solutions difficult to understand. Sanger's contribution analysis is here extended to the analysis of networks aut...
NN
2000
Springer
13 years 8 months ago
2000
Springer
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
ICANN
2007
Springer
14 years 3 months ago
2007
Springer
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
ISNN
2007
Springer
14 years 3 months ago
2007
Springer
This paper presents a new approach to speed up the operation of time delay neural networks for fast code detection. The entire data are collected together in a long vector and then...