Neural network prediction and fractal analysis of chaotic processes in discrete nonlinear systems
This paper is devoted to dynamic forecasting of the behavior of fractal time series. Predicting neural networks are constructed on the ground of multilayer perceptrons with various number of input layer elements and various hidden layer elements, and the dependence of its parameters on fractal dimensionality is examined.
scientific article; zbMATH DE number 6059869