Neural advances in processing nonlinear dynamic signals. ([2019])
- Record Type:
- Book
- Title:
- Neural advances in processing nonlinear dynamic signals. ([2019])
- Main Title:
- Neural advances in processing nonlinear dynamic signals
- Further Information:
- Note: Anna Esposito, Marcos Faundez-Zanuy, Francesco Carlo Morabito, Eros Pasero, editors.
- Editors:
- Esposito, Anna
Faúndez Zanuy, Marcos
Morabito, F. C (Francesco Carlo)
Pasero, Eros - Contents:
- Introduction -- 1. Processing Nonlinearities -- 2. Temporal Artifacts from Edge Accumulation in Social Interaction Networks -- 3. Data Mining by Evolving Agents for Clusters Discovery and Metric Learning -- 4. Neural Beamforming for Speech Enhancement: Preliminary Results -- 5. Error Resilient Neural Networks on Low-Dimensional Manifolds -- 6. FIS Synthesis by Clustering for Microgrid Energy Management Systems -- 7. Learning Activation Functions from Data Using Cubic Spline Interpolation -- 8. Context Analysis Using a Bayesian Normal Graph -- 9. A Classification Approach to Modeling Financial Time Series -- 10. A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals -- 11. Hierarchical Temporal Representation in Linear Reservoir Computing -- 12. On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing -- 13. Separation of Drum and Bass from Monaural Tracks -- 14. Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition -- Computational Intelligence and Related Techniques in Industrial and ICT Engineering -- 15. Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors -- 16. Applying Network Analysis for Extracting Knowledge About Environment Changes from Heterogeneous Sensor Data Streams -- 17. Advanced Computational Intelligence Techniques to Detect and Reconstruct Damages in Reinforced Concrete for Industrial Applications -- 18. Appraisal ofIntroduction -- 1. Processing Nonlinearities -- 2. Temporal Artifacts from Edge Accumulation in Social Interaction Networks -- 3. Data Mining by Evolving Agents for Clusters Discovery and Metric Learning -- 4. Neural Beamforming for Speech Enhancement: Preliminary Results -- 5. Error Resilient Neural Networks on Low-Dimensional Manifolds -- 6. FIS Synthesis by Clustering for Microgrid Energy Management Systems -- 7. Learning Activation Functions from Data Using Cubic Spline Interpolation -- 8. Context Analysis Using a Bayesian Normal Graph -- 9. A Classification Approach to Modeling Financial Time Series -- 10. A Low-Complexity Linear-in-the-Parameters Nonlinear Filter for Distorted Speech Signals -- 11. Hierarchical Temporal Representation in Linear Reservoir Computing -- 12. On 4-Dimensional Hypercomplex Algebras in Adaptive Signal Processing -- 13. Separation of Drum and Bass from Monaural Tracks -- 14. Intelligent Quality Assessment of Geometrical Features for 3D Face Recognition -- Computational Intelligence and Related Techniques in Industrial and ICT Engineering -- 15. Convolutional Neural Networks for the Identification of Filaments from Fast Visual Imaging Cameras in Tokamak Reactors -- 16. Applying Network Analysis for Extracting Knowledge About Environment Changes from Heterogeneous Sensor Data Streams -- 17. Advanced Computational Intelligence Techniques to Detect and Reconstruct Damages in Reinforced Concrete for Industrial Applications -- 18. Appraisal of Enhanced Surrogate Models for Substrate Integrate Waveguide Devices Characterization -- 19. Improving the Stability of Variable Selection for Industrial Datasets -- 20. Cause and Effect Analysis in a Real Industrial Context: Study of a Particular Application Devoted to Quality Improvement -- 21. An Improved PSO for Flexible Parameters Identification of Lithium Cells Equivalent Circuit Models -- 22. Yield Curve Estimation Under Extreme Conditions: Do RBF Networks Perform Better? -- 23. New Challenges in Pension Industry: Proposals of Personal Pension Products -- 24. A PSO-Based Framework for Nonsmooth Portfolio Selection Problems -- 25. Can PSO Improve TA-Based Trading Systems? -- 26. Asymmetry Degree as a Tool for Comparing Interestingness Measures in Decision Making: The Case of Bayesian Confirmation Measures -- 27. A Method Based on OWA Operator for Scientific Research Evaluation -- 28. A Cluster Analysis Approach for Rule Base Reduction. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource
- Subjects:
- 006.32
Engineering
Neural networks (Computer science)
Computer algorithms
Nonlinear systems
Artificial intelligence
COMPUTERS / General
Artificial intelligence
Computer algorithms
Neural networks (Computer science)
Nonlinear systems
Computers -- Intelligence (AI) & Semantics
Technology & Engineering -- General
Artificial intelligence
Cybernetics & systems theory
Electronic books - Languages:
- English
- ISBNs:
- 9783319950983
3319950983 - Related ISBNs:
- 9783319950976
- Notes:
- Note: Online resource; title from PDF title page (EBSCO, viewed July 26, 2018).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.367820
- Ingest File:
- 01_344.xml