10 search results - page 2 / 2 » Time series forecasting through Polynomial Artificial Neural... |
GECCO
2009
Springer
14 years 22 hour ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
OR
2006
Springer
13 years 5 months ago
2006
Springer
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
ISNN
2010
Springer
13 years 3 months ago
2010
Springer
Abstract. A forecasting approach based on Multi-Layer Perceptron (MLP) Artificial Neural Networks (named by the authors MULP) is proposed for the NN5 111 time series long-term, out...
EAAI
2006
13 years 5 months ago
2006
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
ACMICEC
2008
ACM
13 years 7 months ago
2008
ACM
Supply Chain Management (SCM) involves a number of interrelated activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing proces...