Neural Advances in Processing Nonlinear Dynamic Signals

Book Overview

Processing Nonlinearities.- Temporal Artifacts from Edge Accumulation in Social Interaction.- Data Mining by Evolving Agents for Clusters Discovery and Metric Learning.- Error Resilient Neural Networks on Low-Dimensional Manifolds.- On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing.- Growing Curvilinear Component Analysis (GCCA) for Stator Fault Detection in Induction Machines.- Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors.- Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization.- An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models.- New Challenges in Pension Industry: Proposals of Personal Pension Products.- A Method Based on OWA Operator for Scientific Research Evaluation.- A Cluster Analysis Approach for Rule Base Reduction.

• Format: Paperback
• Language: English
• ISBN: 303006977X
• ISBN13: 9783030069773
• Release Date: February 2019
• Publisher: Springer
• Length: 318 Pages
• Weight: 1.03 lbs.
• Dimensions: 0.7" x 6.1" x 9.2"