127 search results - page 7 / 26 » Bus Network Optimization with a Time-Dependent Hybrid Algori... |
GECCO
2003
Springer
14 years 1 months ago
2003
Springer
We propose a neuro-genetic daily stock prediction model. Traditional indicators of stock prediction are utilized to produce useful input features of neural networks. The genetic al...
CEC
2007
IEEE
13 years 12 months ago
2007
IEEE
Routing in computer networks is a nonlinear combinatorial optimization problem with numerous constraints and is classified as an NP-complete problem. There are certain important Qo...
HYBRID
2009
Springer
14 years 2 months ago
2009
Springer
In this paper, we analyze the problem of finding a periodic schedule for the wake-up times of a set of nodes in a Wireless Sensor Network that optimizes the coverage of the region...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Neural networks are used in a wide number of fields including signal and image processing, modeling and control and pattern recognition. Some of the most common type of neural ...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...