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Advances in Neural Networks - ISNN 2017

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Cover of 'Advances in Neural Networks - ISNN 2017'

Table of Contents

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    Book Overview
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    Chapter 1 Online Multi-threshold Learning with Imbalanced Data Stream
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    Chapter 2 A Comparative Study of Machine Learning Techniques for Automatic Product Categorisation
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    Chapter 3 Bootstrap Based on Generalized Regression Neural Network for Landslide Displacement for Interval Prediction
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    Chapter 4 Multi-task Learning with Cartesian Product-Based Multi-objective Combination for Dangerous Object Detection
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    Chapter 5 Collaborative Response Content Recommendation for Customer Service Agents
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    Chapter 6 Text Classification Based on ReLU Activation Function of SAE Algorithm
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    Chapter 7 On Designing New Structures with Emergent Computing Properties
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    Chapter 8 Fast Sparse Least Squares Support Vector Machines by Block Addition
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    Chapter 9 Construction and Analysis of Meteorological Elements Correlation Network
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    Chapter 10 Classifying Helmeted and Non-helmeted Motorcyclists
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    Chapter 11 Dominant Set Based Density Kernel and Clustering
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    Chapter 12 Web Content Extraction Using Clustering with Web Structure
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    Chapter 13 Optimal KD-Partitioning for the Local Outlier Detection in Geo-Social Points
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    Chapter 14 V2G Demand Prediction Based on Daily Pattern Clustering and Artificial Neural Networks
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    Chapter 15 An Arctan-Activated WASD Neural Network Approach to the Prediction of Dow Jones Industrial Average
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    Chapter 16 State Estimation for Autonomous Surface Vehicles Based on Echo State Networks
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    Chapter 17 Using Neural Network Formalism to Solve Multiple-Instance Problems
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    Chapter 18 Many-Objective Optimisation of Trusses Through Meta-Heuristics
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    Chapter 19 Clustering with Multidimensional Mixture Models: Analysis on World Development Indicators
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    Chapter 20 Logic Calculation Based on Two-Domain DNA Strand Displacement
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    Chapter 21 Several Logic Gates Extended from MAGIC-Memristor-Aided Logic
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    Chapter 22 Static Hand Gesture Recognition Based on RGB-D Image and Arm Removal
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    Chapter 23 Real-Time Classification Through a Spiking Deep Belief Network with Intrinsic Plasticity
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    Chapter 24 Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine
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    Chapter 25 An Enhanced K-Nearest Neighbor Classification Method Based on Maximal Coherence and Validity Ratings
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    Chapter 26 Credit Risk Assessment Based on Flexible Neural Tree Model
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    Chapter 27 A Portable Prognostic System for Bearing Monitoring
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    Chapter 28 Parameter Estimation of Linear Systems with Quantized Innovations
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    Chapter 29 LSTM with Matrix Factorization for Road Speed Prediction
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    Chapter 30 Adaptive Control Strategy for Projective Synchronization of Neural Networks
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    Chapter 31 Real-Time Decoding of Arm Kinematics During Grasping Based on F5 Neural Spike Data
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    Chapter 32 Application of Deep Belief Network to Land Cover Classification Using Hyperspectral Images
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    Chapter 33 Reservoir Computing with a Small-World Network for Discriminating Two Sequential Stimuli
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    Chapter 34 Single Channel Speech Separation Using Deep Neural Network
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    Chapter 35 Sparse Direct Convolutional Neural Network
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    Chapter 36 Fuzzy Modeling from Black-Box Data with Deep Learning Techniques
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    Chapter 37 Matrix Neural Networks
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    Chapter 38 Simplified Particle Swarm Optimization Algorithm Based on Improved Learning Factors
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    Chapter 39 Synchronization Analysis for Complex Networks with Interval Coupling Delay
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    Chapter 40 FPGA Implementation of the L Smallest k-Subsets Sum Problem Based on the Finite-Time Convergent Recurrent Neural Network
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    Chapter 41 Accelerating Stochastic Variance Reduced Gradient Using Mini-Batch Samples on Estimation of Average Gradient
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    Chapter 42 Coexistence and Local Exponential Stability of Multiple Equilibria in Memristive Neural Networks with a Class of General Nonmonotonic Activation Functions
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    Chapter 43 A Reinforcement Learning Method with Implicit Critics from a Bystander
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    Chapter 44 The Mixed States of Associative Memories Realize Unimodal Distribution of Dominance Durations in Multistable Perception
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    Chapter 45 Possibilities of Neural Networks for Personalization Approaches for Prevention of Complications After Endovascular Interventions
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    Chapter 46 Relief R-CNN: Utilizing Convolutional Features for Fast Object Detection
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    Chapter 47 The Critical Dynamics in Neural Network Improve the Computational Capability of Liquid State Machines
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    Chapter 48 Exponential Stability of the Coupled Neural Networks with Different State Dimensions
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    Chapter 49 Critical Echo State Networks that Anticipate Input Using Morphable Transfer Functions
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    Chapter 50 INFERNO: A Novel Architecture for Generating Long Neuronal Sequences with Spikes
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    Chapter 51 Global Exponential Stability for Matrix-Valued Neural Networks with Time Delay
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    Chapter 52 Global Asymptotic Stability for Octonion-Valued Neural Networks with Delay
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    Chapter 53 Convolutional Neural Networks for Thai Poem Classification
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    Chapter 54 A Quaternionic Rate-Based Synaptic Learning Rule Derived from Spike-Timing Dependent Plasticity
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    Chapter 55 Cognitive Load Recognition Using Multi-channel Complex Network Method
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    Chapter 56 Event-Triggering Sampling Based Synchronization of Delayed Complex Dynamical Networks: An M-matrix Approach
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    Chapter 57 Learning Human-Understandable Description of Dynamical Systems from Feed-Forward Neural Networks
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    Chapter 58 Stability and Stabilization of Time-Delayed Fractional Order Neural Networks via Matrix Measure
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    Chapter 59 Metrics and the Cooperative Process of the Self-organizing Map Algorithm
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    Chapter 60 A Cooperative Projection Neural Network for Fast Solving Linear Reconstruction Problems
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    Chapter 61 A Complex Gradient Neural Dynamics for Fast Complex Matrix Inversion
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    Chapter 62 Burst and Correlated Firing in Spiking Neural Network with Global Inhibitory Feedback
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    Chapter 63 A Soft Computing Prefetcher to Mitigate Cache Degradation by Web Robots
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    Chapter 64 A Caputo-Type Fractional-Order Gradient Descent Learning of BP Neural Networks
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    Chapter 65 Attracting Sets of Non-autonomous Complex-Valued Neural Networks with both Distributed and Time-Varying Delays
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    Chapter 66 Stability of Complex-Valued Neural Networks with Two Additive Time-Varying Delay Components
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    Chapter 67 Alpine Plants Recognition with Deep Convolutional Neural Network
Overall attention for this book and its chapters
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Title
Advances in Neural Networks - ISNN 2017
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-59072-1
ISBNs
978-3-31-959071-4, 978-3-31-959072-1
Editors

Fengyu Cong, Andrew Leung, Qinglai Wei

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Master 2 14%
Student > Bachelor 1 7%
Researcher 1 7%
Professor > Associate Professor 1 7%
Other 1 7%
Unknown 5 36%
Readers by discipline Count As %
Engineering 3 21%
Computer Science 3 21%
Economics, Econometrics and Finance 1 7%
Business, Management and Accounting 1 7%
Unknown 6 43%