524 search results - page 9 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
GECCO
2005
Springer
14 years 2 months ago
2005
Springer
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
FLAIRS
1998
13 years 10 months ago
1998
Predictingthe level of aflatoxincontaminationin cropsof peanuts is a task of significant importance. Backpmpagationneural networkshavebeenused in the past to modelthis problem,but...
PAKDD
1998
ACM
14 years 23 days ago
1998
ACM
Abstract. Approaches to data mining proposed so far are mainly symbolic decision trees and numerical feedforward neural networks methods. While decision trees give, in many cases, ...
ASC
2004
13 years 8 months ago
2004
Theabilitytointelligentlycollect,manageandanalyzeinformationaboutcustomersandsellersisakeysourceofcompetitive advantage for an e-business. This ability provides an opportunity to ...
ICES
2001
Springer
14 years 1 months ago
2001
Springer
The usefulness of an artificial analog neural network is closely bound to its trainability. This paper introduces a new analog neural network architecture using weights determined...