Advances in Neural Networks – ISNN 2019

Table of Contents

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   Book Overview
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   Chapter 1 Fast Training of Deep LSTM Networks
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   Chapter 2 Bus Arrival Time Prediction with LSTM Neural Network
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   Chapter 3 From Differential Equations to Multilayer Neural Network Models
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   Chapter 4 Projectional Learning Laws for Differential Neural Networks Based on Double-Averaged Sub-Gradient Descent Technique
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   Chapter 5 Better Performance of Memristive Convolutional Neural Network Due to Stochastic Memristors
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   Chapter 6 Unsupervised Feature Selection Using RBF Autoencoder
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   Chapter 7 A Two-Teacher Framework for Knowledge Distillation
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   Chapter 8 The Neural Network for Online Learning Task Without Manual Feature Extraction
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    Chapter 9 Graph Convolution and Self Attention Based Non-maximum Suppression
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    Chapter 10 Dynamic Graph CNN with Attention Module for 3D Hand Pose Estimation
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    Chapter 11 Graph-FCN for Image Semantic Segmentation
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    Chapter 12 Architecture Search for Image Inpainting
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    Chapter 13 An Improved Capsule Network Based on Newly Reconstructed Network and the Method of Sharing Parameters
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    Chapter 14 Bidirectional Gated Recurrent Unit Networks for Relation Classification with Multiple Attentions and Semantic Information
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    Chapter 15 Functional and Structural Features of Recurrent Neural Networks with Controlled Elements
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    Chapter 16 A GAN-Based Data Augmentation Method for Multimodal Emotion Recognition
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    Chapter 17 FG-SRGAN: A Feature-Guided Super-Resolution Generative Adversarial Network for Unpaired Image Super-Resolution
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    Chapter 18 Artificial Neural Networks for Realized Volatility Prediction in Cryptocurrency Time Series
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    Chapter 19 Pattern Matching in Sequential Data Using Reservoir Projections
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    Chapter 20 Multi Step Prediction of Landslide Displacement Time Series Based on Extended Kalman Filter and Back Propagation Trough Time
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    Chapter 21 Noise Filtering in Cellular Neural Networks
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    Chapter 22 Learning Agents with Prioritization and Parameter Noise in Continuous State and Action Space
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    Chapter 23 Demand Forecasting Techniques for Build-to-Order Lean Manufacturing Supply Chains
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    Chapter 24 Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values
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    Chapter 25 Broad Learning for Optimal Short-Term Traffic Flow Prediction
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    Chapter 26 A Novel QGA-UKF Algorithm for Dynamic State Estimation of Power System
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    Chapter 27 An Improved Result on $$H_{\infty }$$ Performance State Estimation of Delayed Static Neural Networks
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    Chapter 28 Uncertainty Estimation via Stochastic Batch Normalization
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    Chapter 29 A Hybrid Neurodynamic Algorithm to Multi-objective Operation Management in Microgrid
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    Chapter 30 Simulation of a Chaos-Like Irregular Neural Firing Pattern Based on Improved Deterministic Chay Model
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    Chapter 31 A New Complex Hyper-chaotic System and Chaotic Synchronization of Error Feedback with Disturbance
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    Chapter 32 A New Adaptive Hybrid Algorithm for Large-Scale Global Optimization
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    Chapter 33 An Effective Hybrid Approach for Optimising the Learning Process of Multi-layer Neural Networks
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    Chapter 34 A Collaborative Neurodynamic Optimization Approach to Bicriteria Portfolio Selection
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    Chapter 35 A Learning-Based Approach for Perceptual Models of Preference
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    Chapter 36 Resistant Neural Network Learning via Resistant Empirical Risk Minimization
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    Chapter 37 Robotic Path Planning Based on Improved Ant Colony Algorithm
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    Chapter 38 An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks
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    Chapter 39 Overcoming Catastrophic Interference with Bayesian Learning and Stochastic Langevin Dynamics
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    Chapter 40 An Improved Selection Operator for Multi-objective Optimization
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    Chapter 41 Evolutionary Optimization of Liquid State Machines for Robust Learning
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    Chapter 42 An Algebraic Algorithm for Joint Independent Subspace Analysis
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    Chapter 43 MaxEntropy Pursuit Variational Inference
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    Chapter 44 Moderated Information Sets
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    Chapter 45 Coherence Regularization for Neural Topic Models
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    Chapter 46 A Solution of Two-Person Zero Sum Differential Games with Incomplete State Information
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    Chapter 47 ACPJS: An Anti-noise Concept Drift Processing Algorithm Based on JS-divergence
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    Chapter 48 A Collaborative Neurodynamic Approach to Sparse Coding
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    Chapter 49 A Kernel Fuzzy C-means Clustering Algorithm Based on Firefly Algorithm
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    Chapter 50 A Fuzzy Clustering Algorithm with Multi-medoids for Multi-view Relational Data