174 search results - page 12 / 35 » Neural network ensembles for time series forecasting |
CONIELECOMP
2006
IEEE
15 years 3 months ago
2006
IEEE
This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
NN
2006
Springer
14 years 9 months ago
2006
Springer
Clustering methods are commonly applied to time series, either as a preprocessing stage for other methods or in their own right. In this paper it is explained why time series clus...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
Speciation is an important concept in evolutionary computation. It refers to an enhancements of evolutionary algorithms to generate a set of diverse solutions. The concept is stud...
NIPS
2000
14 years 10 months ago
2000
Experimental data show that biological synapses behave quite differently from the symbolic synapses in common artificial neural network models. Biological synapses are dynamic, i....
WSCG
2004
14 years 10 months ago
2004
Forecasting of wave height is necessary in a large number of ocean coastal activities. Recently, neural networks are used for prediction and approximation of wave heights in sea a...