Neural Advances in Processing Nonlinear Dynamic Signals

Description

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 control of industrial production processes. It also discusses the drastic changes in financial, economic, and work processes that are currently being experienced by the computational and engineering sciences community. Addresses key aspects, such as the integration of neural algorithms and procedures for the recognition, the analysis and detection of dynamic complex structures and the implementation of systems for discovering patterns in data, the book highlights the commonalities between computational intelligence (CI) and information and communications technologies (ICT) to promote transversal skills and sophisticated processing techniques. This book is a valuable resource for a. The academic research community b. The ICT market c. PhD students and early stage researchers d. Companies, research institutes e. Representatives from industry and standardization bodies Front Matter ....Pages i-xii Front Matter ....Pages 1-1 Processing Nonlinearities (Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero)....Pages 3-7 Front Matter ....Pages 9-9 Temporal Artifacts from Edge Accumulation in Social Interaction Networks (Matt Revelle, Carlotta Domeniconi, Aditya Johri)....Pages 11-21 Data Mining by Evolving Agents for Clusters Discovery and Metric Learning (Alessio Martino, Mauro Giampieri, Massimiliano Luzi, Antonello Rizzi)....Pages 23-35 Neural Beamforming for Speech Enhancement: Preliminary Results (Stefano Tomassetti, Leonardo Gabrielli, Emanuele Principi, Daniele Ferretti, Stefano Squartini)....Pages 37-47 Error Resilient Neural Networks on Low-Dimensional Manifolds (Alexander Petukhov, Inna Kozlov)....Pages 49-59 FIS Synthesis by Clustering for Microgrid Energy Management Systems (Stefano Leonori, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli)....Pages 61-71 Learning Activation Functions from Data Using Cubic Spline Interpolation (Simone Scardapane, Michele Scarpiniti, Danilo Comminiello, Aurelio Uncini)....Pages 73-83 Context Analysis Using a Bayesian Normal Graph (Amedeo Buonanno, Paola Iadicicco, Giovanni Di Gennaro, Francesco A. N. Palmieri)....Pages 85-96 A Classification Approach to Modeling Financial Time Series (Rosa Altilio, Giorgio Andreasi, Massimo Panella)....Pages 97-106 A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals (Danilo Comminiello, Michele Scarpiniti, Simone Scardapane, Raffaele Parisi, Aurelio Uncini)....Pages 107-117 Hierarchical Temporal Representation in Linear Reservoir Computing (Claudio Gallicchio, Alessio Micheli, Luca Pedrelli)....Pages 119-129 On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing (Francesca Ortolani, Danilo Comminiello, Michele Scarpiniti, Aurelio Uncini)....Pages 131-140 Separation of Drum and Bass from Monaural Tracks (Michele Scarpiniti, Simone Scardapane, Danilo Comminiello, Raffaele Parisi, Aurelio Uncini)....Pages 141-151 Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition (G. Cirrincione, F. Marcolin, S. Spada, E. Vezzetti)....Pages 153-164 Front Matter ....Pages 165-165 Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors (Barbara Cannas, Sara Carcangiu, Alessandra Fanni, Ivan Lupelli, Fulvio Militello, Augusto Montisci et al.)....Pages 167-177 Applying Network Analysis for Extracting Knowledge About Environment Changes from Heterogeneous Sensor Data Streams (Francesco Cauteruccio, Paolo Lo Giudice, Giorgio Terracina, Domenico Ursino)....Pages 179-190 Advanced Computational Intelligence Techniques to Detect and Reconstruct Damages in Reinforced Concrete for Industrial Applications (Salvatore Calcagno, Fabio La Foresta)....Pages 191-200 Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization (Domenico De Carlo, Annalisa Sgrò, Salvatore Calcagno)....Pages 201-208 Improving the Stability of Variable Selection for Industrial Datasets (Silvia Cateni, Valentina Colla, Vincenzo Iannino)....Pages 209-218 Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement (Silvia Cateni, Valentina Colla, Antonella Vignali, Jens Brandenburger)....Pages 219-228 An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models (Massimiliano Luzi, Maurizio Paschero, Antonello Rizzi, Fabio Massimo Frattale Mascioli)....Pages 229-238 Front Matter ....Pages 239-239 Yield Curve Estimation Under Extreme Conditions: Do RBF Networks Perform Better? (Alessia Cafferata, Pier Giuseppe Giribone, Marco Neffelli, Marina Resta)....Pages 241-251 New Challenges in Pension Industry: Proposals of Personal Pension Products (Valeria D’Amato, Emilia Di Lorenzo, Marilena Sibillo)....Pages 253-263 A PSO-Based Framework for Nonsmooth Portfolio Selection Problems (Marco Corazza, Giacomo di Tollo, Giovanni Fasano, Raffaele Pesenti)....Pages 265-275 Can PSO Improve TA-Based Trading Systems? (Marco Corazza, Francesca Parpinel, Claudio Pizzi)....Pages 277-288 Asymmetry Degree as a Tool for Comparing Interestingness Measures in Decision Making: The Case of Bayesian Confirmation Measures (Emilio Celotto, Andrea Ellero, Paola Ferretti)....Pages 289-298 A Method Based on OWA Operator for Scientific Research Evaluation (Marta Cardin, Giuseppe De Nadai, Silvio Giove)....Pages 299-306 A Cluster Analysis Approach for Rule Base Reduction (Luca Anzilli, Silvio Giove)....Pages 307-318