869 search results - page 9 / 174 » An Effective Learning Method for Max-Min Neural Networks |
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
A series of evolutionary neural network simulations are presented which explore the hypothesis that learning factors can result in the evolution of long periods of parental protec...
ESWA
2008
13 years 8 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 ...
ICML
2003
IEEE
14 years 9 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...
ISCAS
2005
IEEE
14 years 2 months ago
2005
IEEE
— Cell assembly is one of explanations of information processing in the brain, in which an information is represented by a firing space pattern of a group of plural neurons. On ...
ESANN
2008
13 years 10 months ago
2008
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...