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Advances in Neural Networks: Computational and Theoretical Issues

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Cover of 'Advances in Neural Networks: Computational and Theoretical Issues'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Advances of Neural Networks Models and Applications: An Introduction
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    Chapter 2 Simulink Implementation of Belief Propagation in Normal Factor Graphs
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    Chapter 3 Time Series Analysis by Genetic Embedding and Neural Network Regression
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    Chapter 4 Significance-Based Pruning for Reservoir’s Neurons in Echo State Networks
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    Chapter 5 Online Selection of Functional Links for Nonlinear System Identification
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    Chapter 6 A Continuous-Time Spiking Neural Network Paradigm
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    Chapter 7 Online Spectral Clustering and the Neural Mechanisms of Concept Formation
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    Chapter 8 Machine Learning-Based Web Documents Categorization by Semantic Graphs
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    Chapter 9 Web Spam Detection Using Transductive(Inductive Graph Neural Networks
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    Chapter 10 Hubs and Communities Identification in Dynamical Financial Networks
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    Chapter 11 Video-Based Access Control by Automatic License Plate Recognition
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    Chapter 12 On the Use of Empirical Mode Decomposition (EMD) for Alzheimer’s Disease Diagnosis
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    Chapter 13 Effects of Artifacts Rejection on EEG Complexity in Alzheimer’s Disease
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    Chapter 14 Denoising Magnetotelluric Recordings Using Self-Organizing Maps
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    Chapter 15 Integration of Audio and Video Clues for Source Localization by a Robotic Head
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    Chapter 16 A Feasibility Study of Using the NeuCube Spiking Neural Network Architecture for Modelling Alzheimer’s Disease EEG Data
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    Chapter 17 Application of Bayesian Techniques to Behavior Analysis in Maritime Environments
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    Chapter 18 Domestic Water and Natural Gas Demand Forecasting by Using Heterogeneous Data: A Preliminary Study
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    Chapter 19 Radial Basis Function Interpolation for Referenceless Thermometry Enhancement
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    Chapter 20 A Grid-Based Optimization Algorithm for Parameters Elicitation in WOWA Operators: An Application to Risk Assesment
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    Chapter 21 An Heuristic Approach for the Training Dataset Selection in Fingerprint Classification Tasks
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    Chapter 22 Fuzzy Measures and Experts’ Opinion Elicitation
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    Chapter 23 Algorithms Based on Computational Intelligence for Autonomous Physical Rehabilitation at Home
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    Chapter 24 A Predictive Approach Based on Neural Network Models for Building Automation Systems
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    Chapter 25 Effects of Narrative Identities and Attachment Style on the Individual’s Ability to Categorize Emotional Voices
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    Chapter 26 Cogito Ergo Gusto : Explicit and Implicit Determinants of the First Tasting Behaviour
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    Chapter 27 Coordination between Markers, Repairs and Hand Gestures in Political Interviews
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    Chapter 28 Making Decisions under Uncertainty Emotions, Risk and Biases
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    Chapter 29 Influence of Induced Mood on the Rating of Emotional Valence and Intensity of Facial Expressions
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    Chapter 30 A Multimodal Approach for Parkinson Disease Analysis
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    Chapter 31 Are Emotions Reliable Predictors of Future Behavior? The Case of Guilt and Other Post-action Emotions
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    Chapter 32 Negative Mood Effects on Decision Making among Potential Pathological Gamblers and Healthy Individuals
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    Chapter 33 Deep Learning Our Everyday Emotions
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    Chapter 34 Extracting Style and Emotion from Handwriting
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    Chapter 35 On the Use of Quantum-inspired Optimization Techniques for Training Spiking Neural Networks: A New Method Proposed
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    Chapter 36 Binary Synapse Circuitry for High Efficiency Learning Algorithm Using Generalized Boundary Condition Memristor Models
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    Chapter 37 Analogic Realization of a Non-linear Network with Re-configurable Structure as Paradigm for Real Time Analysis of Complex Dynamics
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    Chapter 38 A Memristive System Based on an Electrostatic Loudspeaker
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    Chapter 39 Memristor Based Adaptive Coupling for Synchronization of Two Rössler Systems
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Title
Advances in Neural Networks: Computational and Theoretical Issues
Published by
Springer International Publishing, June 2015
DOI 10.1007/978-3-319-18164-6
ISBNs
978-3-31-918163-9, 978-3-31-918164-6
Editors

Bassis, Simone, Esposito, Anna, Morabito, Francesco Carlo

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X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Ecuador 1 1%
Canada 1 1%
Austria 1 1%
Brazil 1 1%
Unknown 94 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 17%
Student > Ph. D. Student 15 15%
Researcher 14 14%
Student > Bachelor 9 9%
Student > Doctoral Student 6 6%
Other 17 17%
Unknown 20 20%
Readers by discipline Count As %
Computer Science 36 37%
Engineering 20 20%
Social Sciences 3 3%
Physics and Astronomy 3 3%
Agricultural and Biological Sciences 2 2%
Other 11 11%
Unknown 23 23%