A Comparison of the Backpropagation and Recursive Prediction Error Algorithms for Training Neural Networks.

摘要

A new recursive prediction error routine is compared with the backpropagation method of training neural networks. Results based on simulated systems, the prediction of Canadian Lynx data and the modelling of an automotive diesel engine indicate that the recursive prediction error algorithm is far superior to backpropagation.