99 search results - page 4 / 20 » A Neural Evolutionary Classification Method for Brain-Wave A... |
TEC
2008
13 years 7 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...
EVOW
2008
Springer
13 years 9 months ago
2008
Springer
The design of computer architectures requires the setting of multiple parameters on which the final performance depends. The number of possible combinations make an extremely huge ...
ESWA
2006
13 years 7 months ago
2006
In this paper, I propose a genetic algorithm (GA) approach to instance selection in artificial neural networks (ANNs) for financial data mining. ANN has preeminent learning abilit...
BMCBI
2010
13 years 7 months ago
2010
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
Both genetic algorithms (GAs) and temporal difference (TD) methods have proven effective at solving reinforcement learning (RL) problems. However, since few rigorous empirical com...