11814 search results - page 181 / 2363 » On Generalization by Neural Networks |
123
Voted
SBRN
2000
IEEE
15 years 9 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
156
Voted
GECCO
2007
Springer
15 years 10 months ago
2007
Springer
Opponent models are necessary in games where the game state is only partially known to the player, since the player must infer the state of the game based on the opponent’s acti...
152
Voted
CIBCB
2005
IEEE
15 years 6 months ago
2005
IEEE
— A fuzzy neural network (FNN) and multiple linear regression (MLR) were used to predict biological activities of 26 newly designed HIV-1 protease potential inhibitory compounds....
137
click to vote
IJON
2008
15 years 4 months ago
2008
The term neural network evolution usually refers to network topology evolution leaving the network's parameters to be trained using conventional algorithms. In this paper we ...
139
Voted
NN
2000
Springer
15 years 4 months ago
2000
Springer
In Lp-spaces with p [1, ) there exists a best approximation mapping to the set of functions computable by Heaviside perceptron networks with n hidden units; however for p (1, ) ...