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Neural Information Processing

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Cover of 'Neural Information Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Prescribed Performance Control of Double-Fed Induction Generator with Uncertainties
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    Chapter 2 Event-Triggered Adaptive Dynamic Programming for Continuous-Time Nonlinear Two-Player Zero-Sum Game
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    Chapter 3 A Learning Based Recovery for Damaged Snake-Like Robots
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    Chapter 4 Learning to Cooperate in Decentralized Multi-robot Exploration of Dynamic Environments
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    Chapter 5 Q Value-Based Dynamic Programming with Boltzmann Distribution by Using Neural Network
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    Chapter 6 Data-Driven and Collision-Free Hybrid Crowd Simulation Model for Real Scenario
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    Chapter 7 Aligning Manifolds of Double Pendulum Dynamics Under the Influence of Noise
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    Chapter 8 Pinning Synchronization of Complex Networks with Switching Topology and a Dynamic Target System
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    Chapter 9 The Deep Input-Koopman Operator for Nonlinear Systems
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    Chapter 10 Multi-UAV Collaborative Monocular SLAM Focusing on Data Sharing
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    Chapter 11 Comparing Computing Platforms for Deep Learning on a Humanoid Robot
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    Chapter 12 Min-Max Consensus Algorithm for Multi-agent Systems Subject to Privacy-Preserving Problem
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    Chapter 13 Robot Navigation on Slow Feature Gradients
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    Chapter 14 Neurodynamics-Based Distributed Receding Horizon Trajectory Generation for Autonomous Surface Vehicles
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    Chapter 15 Adaptive Finite-Time Synchronization of Inertial Neural Networks with Time-Varying Delays via Intermittent Control
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    Chapter 16 Adaptive Critic Designs of Optimal Control for Ice Storage Air Conditioning Systems
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    Chapter 17 Impulsive Constraint Control of Coupled Neural Network Model with Actual Saturation
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    Chapter 18 Value Iteration Algorithm for Optimal Consensus Control of Multi-agent Systems
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    Chapter 19 Potential and Sampling Based RRT Star for Real-Time Dynamic Motion Planning Accounting for Momentum in Cost Function
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    Chapter 20 Dynamic Control of Storage Bandwidth Using Double Deep Recurrent Q-Network
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    Chapter 21 Adaptive Modeling and Control of an Upper-Limb Rehabilitation Robot Using RBF Neural Networks
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    Chapter 22 Modelling Predictive Information of Stochastic Dynamics in the Retina
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    Chapter 23 Local Tracking Control for Unknown Interconnected Systems via Neuro-Dynamic Programming
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    Chapter 24 Optimal Control for Dynamic Positioning Vessel Based on an Approximation Method
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    Chapter 25 Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot
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    Chapter 26 Resilient Consensus for Multi-agent Networks with Mobile Detectors
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    Chapter 27 Multi-feature Fusion for Deep Reinforcement Learning: Sequential Control of Mobile Robots
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    Chapter 28 Dynamics Based Fuzzy Adaptive Impedance Control for Lower Limb Rehabilitation Robot
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    Chapter 29 A New Overvoltage Control Method Based on Active and Reactive Power Coupling
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    Chapter 30 A Neural Network Compensation Technique for an Inertia Estimation Error of a Time-Delayed Controller for a Robot Manipulator
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    Chapter 31 Estimating Criticality of Resting-State Phase Synchronization Network Based on EEG Source Signals
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    Chapter 32 A Spatio-Temporal Fully Convolutional Network for Breast Lesion Segmentation in DCE-MRI
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    Chapter 33 Glomerulus Detection on Light Microscopic Images of Renal Pathology with the Faster R-CNN
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    Chapter 34 One-Bit DNA Compression Algorithm
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    Chapter 35 Robust Segmentation of Overlapping Cells in Cervical Cytology Using Light Convolution Neural Network
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    Chapter 36 Semantic Similarity Measures to Disambiguate Terms in Medical Text
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    Chapter 37 Age Estimation from MR Images via 3D Convolutional Neural Network and Densely Connect
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    Chapter 38 Low-Shot Multi-label Incremental Learning for Thoracic Diseases Diagnosis
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    Chapter 39 Continuous Convolutional Neural Network with 3D Input for EEG-Based Emotion Recognition
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    Chapter 40 3D Large Kernel Anisotropic Network for Brain Tumor Segmentation
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    Chapter 41 Saliency Supervision: An Intuitive and Effective Approach for Pain Intensity Regression
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    Chapter 42 Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery
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    Chapter 43 EEG Sparse Representation Based Alertness States Identification Using Gini Index
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    Chapter 44 Attention-Based Network for Cross-View Gait Recognition
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    Chapter 45 Experimental Validation of Minimum-Jerk Principle in Physical Human-Robot Interaction
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    Chapter 46 Residual Semantic Segmentation of the Prostate from Magnetic Resonance Images
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    Chapter 47 The Relationship Between the Movement Difficulty and Brain Activity Before Arm Movements
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    Chapter 48 A Deep Learning Assisted Gene Expression Programming Framework for Symbolic Regression Problems
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    Chapter 49 Automated Tongue Segmentation in Chinese Medicine Based on Deep Learning
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    Chapter 50 Deep Feature Learning and Visualization for EEG Recording Using Autoencoders
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    Chapter 51 A Feature Filter for EEG Using Cycle-GAN Structure
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    Chapter 52 Influence of Difference of Spatial Information Obtained from a Moving Virtual Sound Presentation on Auditory BCI
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    Chapter 53 Association Study of Alzheimer’s Disease with Tree-Guided Sparse Canonical Correlation Analysis
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    Chapter 54 Relevance of Frequency of Heart-Rate Peaks as Indicator of ‘Biological’ Stress Level
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    Chapter 55 Development of a Real-Time Motor-Imagery-Based EEG Brain-Machine Interface
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    Chapter 56 Robust Eye Center Localization Based on an Improved SVR Method
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    Chapter 57 Hopfield Neural Network with Double-Layer Amorphous Metal-Oxide Semiconductor Thin-Film Devices as Crosspoint-Type Synapse Elements and Working Confirmation of Letter Recognition
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    Chapter 58 FPGA Based Hardware Implementation of Simple Dynamic Binary Neural Networks
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    Chapter 59 Fast Depthwise Separable Convolution for Embedded Systems
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    Chapter 60 An Analog Circuit Design for k -Winners-Take-All Operations
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    Chapter 61 NVM Weight Variation Impact on Analog Spiking Neural Network Chip
Overall attention for this book and its chapters
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Title
Neural Information Processing
Published by
Springer International Publishing, January 2019
DOI 10.1007/978-3-030-04239-4
ISBNs
978-3-03-004238-7, 978-3-03-004239-4
Editors

Cheng, Long, Leung, Andrew Chi Sing, Ozawa, Seiichi

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 50%
Student > Doctoral Student 1 13%
Unknown 3 38%
Readers by discipline Count As %
Unspecified 4 50%
Medicine and Dentistry 1 13%
Unknown 3 38%