Pipeline FPGA-Based Implementations of ANNs for the Prediction of up to 600-Steps-Ahead of Chaotic Time Series

Pano-Azucena, AD; Tlelo-Cuautle, E; Ovilla-Martinez, B; de la Fraga, LG; Li, R

Tlelo-Cuautle, E (corresponding author), INAOE, Dept Elect, Luis Enrique Erro 1, Puebla 72840, Mexico.

JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2021; 30 (09):

Abstract

Chaotic time series prediction can be performed by applying different architectures of artificial neural networks (ANNs) that can be implemented on fi......

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