Predicting Natural and Chaotic Time Series with a Swarm-Optimized Neural Network

Natural and chaotic time series are predicted using an artificial neural network (ANN) based on particle swarm optimization (PSO). Firstly, the hybrid ANN+PSO algorithm is applied on Mackey-Glass series in the short-term prediction x(t + 6), using the current value x(t) and the past values: x(t - 6)...

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Veröffentlicht in:	Chinese physics letters 2011-11, Vol.28 (11), p.110504-1-110504-3
1. Verfasser:	Lazzus, Juan A
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Chaos theory Learning theory Neural networks Swarm intelligence Time series
Online-Zugang:	Volltext
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