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WCE
2007
8 years 7 months ago
Building Time Series Forecasting Model By Independent Component Analysis Mechanism
—Building a time series forecasting model by independent component analysis mechanism presents in the paper. Different from using the time series directly with the traditional A...
Jin-Cherng Lin, Yung-Hsin Li, Cheng-Hsiung Liu
ESANN
1998
8 years 7 months ago
Forecasting time-series by Kohonen classification
In this paper, we propose a generic non-linear approach for time series forecasting. The main feature of this approach is the use of a simple statistical forecasting in small regio...
Amaury Lendasse, Michel Verleysen, Eric de Bodt, M...
FLAIRS
2004
8 years 7 months ago
A Method Based on RBF-DDA Neural Networks for Improving Novelty Detection in Time Series
Novelty detection in time series is an important problem with application in different domains such as machine failure detection, fraud detection and auditing. An approach to this...
Adriano L. I. Oliveira, Fernando Buarque de Lima N...
IPPS
2007
IEEE
9 years 15 days ago
Time Series Forecasting by means of Evolutionary Algorithms
Many physical and artificial phenomena can be described by time series. The prediction of such phenomenon could be as complex as interesting. There are many time series forecasti...
Cristóbal Luque del Arco-Calderón, J...
SBRN
2008
IEEE
9 years 17 days ago
Selecting Neural Network Forecasting Models Using the Zoomed-Ranking Approach
In this work, we propose to use the Zoomed-Ranking approach to ranking and selecting Artificial Neural Network (ANN) models for time series forecasting. Given a time series to fo...
Patrícia M. Santos, Teresa Bernarda Ludermi...
IDA
2009
Springer
9 years 23 days ago
Improving Time Series Forecasting by Discovering Frequent Episodes in Sequences
Abstract. This work aims to improve an existing time series forecasting algorithm –LBF– by the application of frequent episodes techniques as a complementary step to the model....
Francisco Martínez-Álvarez, Alicia T...
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
9 years 23 days ago
Neural network ensembles for time series forecasting
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...
Victor M. Landassuri-Moreno, John A. Bullinaria
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
9 years 6 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
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