276 search results - page 22 / 56 » Effect of Batch Learning in Multilayer Neural Networks |
AI
2002
Springer
13 years 7 months ago
2002
Springer
Neural network ensemble is a learning paradigm where many neural networks are jointly used to solve a problem. In this paper, the relationship between the ensemble and its compone...
HIS
2008
13 years 9 months ago
2008
Online adaptation is a key requirement for image processing applications when used in dynamic environments. In contrast to batch learning, where retraining is required each time a...
CEC
2005
IEEE
14 years 1 months ago
2005
IEEE
This paper examines the effect of cultural learning on a population of neural networks. We compare the genotypic and phenotypic diversity of populations employing only population l...
CIG
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, coevolution is used to evolve Artificial Neural Networks (ANN) which evaluate board positions of a two player zero-sum game (The Virus Game). The coevolved neura...
NCA
2007
IEEE
13 years 7 months ago
2007
IEEE
: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...