163 search results - page 3 / 33 » Neural Mesh Ensembles |
CEC
2007
IEEE
14 years 3 months ago
2007
IEEE
— This paper proposes to incorporate bootstrap of data, random feature subspace and evolutionary algorithm with negative correlation learning to automatically design accurate and...
ESWA
2008
13 years 9 months ago
2008
In this study, a multistage neural network ensemble learning model is proposed to evaluate credit risk at the measurement level. The proposed model consists of six stages. In the ...
ICANN
2010
Springer
13 years 7 months ago
2010
Springer
Accurate time series forecasting are important for several business, research, and application of engineering systems. Evolutionary Neural Networks are particularly appealing becau...
SKG
2006
IEEE
14 years 3 months ago
2006
IEEE
This article explores the utility of neural network ensembles in knowledge discovery and integration. A novel neural network ensemble model KBNNE (Knowledge-Based Neural Network E...
IWANN
2007
Springer
14 years 3 months ago
2007
Springer
In this paper ensemble techniques have been applied in the frame of topology preserving mappings in two applications: classification and visualization. These techniques are applied...