554 search results - page 7 / 111 » Variable selection using neural-network models |
151
Voted
IWANN
2001
Springer
15 years 10 months ago
2001
Springer
Complexity-penalization strategies are one way to decide on the most appropriate network size in order to address the trade-off between overfitted and underfitted models. In this p...
148
Voted
ESWA
2008
15 years 5 months ago
2008
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
115
Voted
IWINAC
2005
Springer
15 years 11 months ago
2005
Springer
Fuel moisture content (FMC) is one of the variables that drive fire danger. Artificial Neural Networks (ANN) were tested to estimate FMC by calculating the two variables implicat...
141
Voted
IJCNN
2007
IEEE
16 years 3 days ago
2007
IEEE
– Constructive algorithms are effective methods for designing Artificial Neural Networks (ANN) with good accuracy and generalization capability, yet with parsimonious network str...
176
Voted
CEC
2003
IEEE
15 years 11 months ago
2003
IEEE
AbstractRecent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of geno...