Multi-step-ahead prediction using dynamic recurrent neural networks

A method for the development of empirical predictive models for complex processes is presented. The models are capable of performing accurate multi-step-ahead (MS) predictions, while maintaining acceptable single-step-ahead (SS) prediction accuracy. Such predictors

• Type: Journal
• Year: 2000
• Where: NN
• Authors: Alexander G. Parlos, Omar T. Rais, Amir F. Atiya
• Keywords: Accurate Ms Predictions, Complex Processes, Empirical Predictive Models, Neural Networks, NN 2000