Neural Networks for Signal Processing in Measurement Analysis and Industrial Applications: the Case of Chaotic Signal Processing

摘要

This chapter discusses the use of neural networks for signal processing. In particular, it focuses on one of the most interesting and innovative areas: the chaotic time series processing. This includes time series analysis, identification of chaotic behavior, forecasting, and dynamic reconstruction. An overview of chaotic signal processing both by conventional and neural network methods is given.