872 search results - page 57 / 175 » Evolving Complex Neural Networks |
ESANN
2004
14 years 11 months ago
2004
The way information is represented and processed in a neural network may have important consequences on its computational power and complexity. Basically, information representatio...
GECCO
2010
Springer
15 years 1 months ago
2010
Springer
A significant challenge in genetic programming is premature convergence to local optima, which often prevents evolution from solving problems. This paper introduces to genetic pro...
INFOCOM
2010
IEEE
14 years 8 months ago
2010
IEEE
—Enterprise networks are large and complex, and their designs must be frequently altered to adapt to changing organizational needs. The process of redesigning and reconfiguring ...
ISNN
2007
Springer
15 years 4 months ago
2007
Springer
The paper presents a pattern-oriented agent-based model to simulate the dynamics of a stock market. The model generates satisfactory market macro-level trend and volatility while t...
ESANN
2007
14 years 11 months ago
2007
Due to the scale and computational complexity of current simulation codes, metamodels (or surrogate models) have become indispensable tools for exploring and understanding the desi...