Neural Advances in Processing Nonlinear Dynamic Signals

• Corporate Author: SpringerLink (Online service)
• Other Authors: Esposito, Anna (Editor, http://id.loc.gov/vocabulary/relators/edt), Faundez-Zanuy, Marcos (Editor, http://id.loc.gov/vocabulary/relators/edt), Morabito, Francesco Carlo (Editor, http://id.loc.gov/vocabulary/relators/edt), Pasero, Eros (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: Smart Innovation, Systems and Technologies, 102
• Subjects: Computational intelligence.; Artificial intelligence.; Computational complexity.; Computational Intelligence.; Artificial Intelligence.; Complexity.

This book proposes neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generation, filtering, equalization, signals from arrays of sensors, and perturbations in the automatic c...