4864 search results - page 112 / 973 » Evolving neural networks |
IJCNN
2000
IEEE
15 years 6 months ago
2000
IEEE
Sensitivity analysis is a method for extracting the cause and effect relationship between the inputs and outputs of the network. After training a neural network, one may want to k...
120
click to vote
CEC
2007
IEEE
15 years 8 months ago
2007
IEEE
— Recently there has been significant interest in evolving genetic regulatory networks with a user-determined behaviour. It is unclear whether or not artificial evolution of bi...
113
click to vote
NN
1998
Springer
15 years 1 months ago
1998
Springer
A recurrent neural network can possess multiple stable states, a property that many brain theories have implicated in learning and memory. There is good evidence for such multista...
165
Voted
NN
2011
Springer
14 years 4 months ago
2011
Springer
Neurodynamical models of working memory (WM) should provide mechanisms for storing, maintaining, retrieving, and deleting information. Many models address only a subset of these a...
105
click to vote
IJCNN
2006
IEEE
15 years 7 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 ...