99 search results - page 2 / 20 » On the Use of Neural Network Ensembles in QSAR and QSPR |
ICANN
2010
Springer
13 years 3 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...
AI
2002
Springer
13 years 5 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...
ESWA
2008
13 years 5 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 ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— Ensembles are often capable of greater predictive accuracy than any of their individual members. One key attribute of ensembles’ success is the notion of diversity. However, ...
IJCNN
2006
IEEE
13 years 11 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...