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Neural Advances in Processing Nonlinear Dynamic Signals

Anna Esposito; Marcos Faundez-Zanuy; Francesco Carlo Morabito; Eros Pasero

978-3-319-95098-3

2019
Edition 1
- Presents neural networks algorithms and advanced machine learning techniques for processing nonlinear dynamic signals such as audio, speech, financial signals, feedback loops, waveform generations, filtering, equalization, signals from arrays of sensors, and perturbation in the automatic control of industrial production processes
- Proposes approaches to measure and highlight the importance of the use of intelligent tools in the investigation of economic/financial and industrial processes
- Covers different scientific areas in computational intelligence and related techniques in financial, industrial, and information and communications technology (ICT) engineering
- Includes contributions from leading experts
€300

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