715 search results - page 18 / 143 » Neural Network with Matrix Inputs |
IJCNN
2006
IEEE
14 years 2 months ago
2006
IEEE
— This paper shows the advantage of using neural network modularity over conventional learning schemes to approximate complex functions. Indeed, it is difficult for artificial ...
IEAAIE
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...
FPL
1994
Springer
14 years 1 months ago
1994
Springer
The implementation of larger digital neural networks has not been possible due to the real-estate requirements of single neurons. We present an expandable digital architecture whic...
JCNS
2008
13 years 8 months ago
2008
Gain modulation, in which the sensitivity of a neural response to one input is modified by a second input, is studied at single-neuron and network levels. At the single neuron leve...
IJCNN
2000
IEEE
14 years 1 months ago
2000
IEEE
The transition to democracy in South Africa has brought with it certain challenges. The main challenge is to get rid of crime and corruption.This paper presents a technique to com...