Single neuron computation
Time-series prediction with single integrate-and-fire neuron
Applied Soft Computing
Time series prediction with single multiplicative neuron model
Applied Soft Computing
PSO-based single multiplicative neuron model for time series prediction
Expert Systems with Applications: An International Journal
Cooperative Random Learning Particle Swarm Optimization
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 07
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Single Integrate-and-Fire neuron (IFN) model is used for time series prediction recently in which a multilayer neural network is always utilized. An improved particle swarm optimization (PSO) algorithm named cooperative random learning particle swarm optimization (CRPSO) algorithm is put forward to training the IFN model in order to enhance its approximation and generalization capabilities. The proposed CRPSO-based IFN model is used for Mackey-Glass time series prediction problem. The experimental results demonstrate the superiority of CRPSO-based model in efficiency and robustness over the PSO algorithm, BP algorithms and GA.