Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network
An artificial neural network (ANN) based on particle swarm optimization (PSO) was developed for the time series prediction. The hybrid ANN+PSO algorithm was applied on Mackey-Glass chaotic time series in the short-term xt+6. The performance prediction was evaluated and compared with other studies av...
Main Authors: | C. H. López-Caraballo, J. A. Lazzús, I. Salfate, P. Rojas, M. Rivera, L. Palma-Chilla |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2015-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2015/145874 |
Similar Items
-
Long-term prediction of wind speed in La Serena City (Chile) using hybrid neural network-particle swarm algorithm
by: Juan A Lazzús, et al.
Published: (2017-01-01) -
Cellular Neural Network for Color Image Noise Cancellation Based on Particle Swarm Optimization
by: Jia-Wei Liu, et al.
Published: (2008) -
Cellular Neural Network for Image Edge Detection/Noise Cancellation Based on Particle Swarm Optimization
by: Eric, et al.
Published: (2006) -
Adaptive Particle Swarm Optimization Based on Cellular Neural Network for Noise Cancellation of Gray Image
by: Tzu-Hsiang Lin, et al.
Published: (2010) -
Particle Swarm Optimization Neural Network for Flow Prediction in Vegetative Channel
by: Jha Anjaneya, et al.
Published: (2013-12-01)