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Advances in Neural Networks – ISNN 2012

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Cover of 'Advances in Neural Networks – ISNN 2012'

Table of Contents

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    Book Overview
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    Chapter 1 The Pattern Classification Based on Fuzzy Min-max Neural Network with New Algorithm
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    Chapter 2 Multi-class Classification with One-Against-One Using Probabilistic Extreme Learning Machine
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    Chapter 3 Similarity Measurement and Feature Selection Using Genetic Algorithm
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    Chapter 4 Entropic Feature Discrimination Ability for Pattern Classification Based on Neural IAL
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    Chapter 5 Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method
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    Chapter 6 An Efficient Histogram-Based Texture Classification Method with Weighted Symmetrized Kullback-Leibler Divergence
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    Chapter 7 The Recognition Study of Impulse and Oscillation Transient Based on Spectral Kurtosis and Neural Network
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    Chapter 8 Forward Feature Selection Based on Approximate Markov Blanket
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    Chapter 9 An Adaption of Relief for Redundant Feature Elimination
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    Chapter 10 Feature Selection of Frequency Spectrum for Modeling Difficulty to Measure Process Parameters
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    Chapter 11 Nonnegative Dictionary Learning by Nonnegative Matrix Factorization with a Sparsity Constraint
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    Chapter 12 A New Method for Hand Detection Based on Hough Forest
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    Chapter 13 Multi-scale Convolutional Neural Networks for Natural Scene License Plate Detection
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    Chapter 14 Robust Mean Shift Tracking with Background Information
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    Chapter 15 Heart Sounds Classification with a Fuzzy Neural Network Method with Structure Learning
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    Chapter 16 On Cortex Mechanism Hierarchy Model for Facial Expression Recognition: Multi-database Evaluation Results
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    Chapter 17 LEFT–Logical Expressions Feature Transformation: A Framework for Transformation of Symbolic Features
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    Chapter 18 A Time-Frequency Aware Cochlear Implant: Algorithm and System
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    Chapter 19 Gradient Vector Flow Based on Anisotropic Diffusion
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    Chapter 20 ECG Classification Based on Non-cardiology Feature
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    Chapter 21 Building High-Performance Classifiers Using Positive and Unlabeled Examples for Text Classification
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    Chapter 22 A Modified Neural Network Classifier with Adaptive Weight Update and GA-Based Feature Subset Selection
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    Chapter 23 A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs
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    Chapter 24 Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks
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    Chapter 25 Two-Phase Test Sample Representation with Efficient M-Nearest Neighbor Selection in Face Recognition
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    Chapter 26 A Multiple Sub-regions Design of non-Classical Receptive Field
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    Chapter 27 A New Method of Edge Detection Based on PSO
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    Chapter 28 Speed Limit Sign Recognition Using Log-Polar Mapping and Visual Codebook
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    Chapter 29 A Medical Image Fusion Method Based on Visual Models
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    Chapter 30 A Novel Method of River Detection for High Resolution Remote Sensing Image Based on Corner Feature and SVM
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    Chapter 31 Nature Image Feature Extraction Using Several Sparse Variants of Non-negative Matrix Factorization Algorithm
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    Chapter 32 A Remote Sensing Image Matching Algorithm Based on the Feature Extraction
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    Chapter 33 Robust Color Image Watermarking Using LS-SVM Correction
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    Chapter 34 A Model of Image Representation Based on Non-classical Receptive Fields
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    Chapter 35 Coevolving between Structure and Dynamics of Growing Networks
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    Chapter 36 Learning to Explore Spatio-temporal Impacts for Event Evaluation on Social Media
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    Chapter 37 Aspect and Sentiment Extraction Based on Information-Theoretic Co-clustering
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    Chapter 38 Exploratory Class-Imbalanced and Non-identical Data Distribution in Automatic Keyphrase Extraction
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    Chapter 39 The Research on Fisher-RBF Data Fusion Model of Network Security Detection
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    Chapter 40 Optimal Battery Management with ADHDP in Smart Home Environments
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    Chapter 41 Robot Navigation Based on Fuzzy Behavior Controller
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    Chapter 42 New Robust H  ∞  Fuzzy Control for the Interconnected Bilinear Systems Subject to Actuator Saturation
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    Chapter 43 Robust Constrained Constant Modulus Algorithm
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    Chapter 44 Data-Driven Integrated Modeling and Intelligent Control Methods of Grinding Process
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    Chapter 45 Direct Adaptive Neural Dynamic Surface Control of Uncertain Nonlinear Systems with Input Saturation
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    Chapter 46 Adaptive Dynamic Surface Control of Uncertain Nonlinear Time-Delay Systems Based on High-Gain Filter Observer and Fuzzy Neural Networks
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    Chapter 47 Time-Delay Wavelet Neural Networks Model with Application to Ship Control
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    Chapter 48 Research on the Application Mechanism of Single Neuron SAC Algorithm in Feedforward Compensation System Based on Invariance Principle about Hot Strip Mill
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    Chapter 49 H  ∞  Robust Control for Singular Networked Control Systems with Uncertain Time-Delay
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    Chapter 50 A Model Reference Neural Speed Regulator Applied to Belt-Driven Servomechanism
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    Chapter 51 Model-Free Iterative Learning Control for Repetitive Impulsive Noise Using FFT
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    Chapter 52 Research on Diagnosis Method of Predictive Control Performance Model Based on Data
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    Chapter 53 Temperature Control in Water-Gas Shift Reaction with Adaptive Dynamic Programming
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    Chapter 54 Regenerative Braking Control Strategy for Electric Vehicle
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    Chapter 55 Recurrent Neural Network-Based Control for Wastewater Treatment Process
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    Chapter 56 Neural Network Adaptive Control for Cooperative Path-Following of Marine Surface Vessels
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    Chapter 57 Vessel Steering Control Using Generalized Ellipsoidal Basis Function Based Fuzzy Neural Networks
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    Chapter 58 Fast Tracking Control of Three-Phase PWM Rectifier for Microturbine
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    Chapter 59 Self-learning Control Schemes for Two-Person Zero-Sum Differential Games of Continuous-Time Nonlinear Systems with Saturating Controllers
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    Chapter 60 Neuroadaptive Speed Assistance Control of Wind Turbine with Variable Ratio Gearbox (VRG)
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    Chapter 61 Sentic Maxine: Multimodal Affective Fusion and Emotional Paths
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    Chapter 62 Heteroskedastic Regression and Persistence in Random Walks at Tokyo Stock Exchange
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    Chapter 63 Soft Measurement Modeling Based on Hierarchically Neural Network (HNN) for Wastewater Treatment
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    Chapter 64 Predictive Model of Production Index for Sugar Clarification Process by GDFNN
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    Chapter 65 Energy Consumption Prediction in Ironmaking Process Using Hybrid Algorithm of SVM and PSO
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    Chapter 66 An Energy Aware Approach for Task Scheduling in Energy-Harvesting Sensor Nodes
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    Chapter 67 A Projection Based Learning Meta-cognitive RBF Network Classifier for Effective Diagnosis of Parkinson’s Disease
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    Chapter 68 CNN Hyperchaotic Synchronization with Applications to Secure Communication
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    Chapter 69 Parallel Decision Tree with Application to Water Quality Data Analysis
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    Chapter 70 Prediction of Biomass Concentration with Hybrid Neural Network
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    Chapter 71 Short-Term Wind Power Prediction Based on Wavelet Decomposition and Extreme Learning Machine
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    Chapter 72 Fingerprint Enhancement Method Based on Wavelet and Unsharp Masking
Overall attention for this book and its chapters
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Title
Advances in Neural Networks – ISNN 2012
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-31362-2
ISBNs
978-3-64-231361-5, 978-3-64-231362-2
Editors

Jun Wang, Gary G. Yen, Marios M. Polycarpou

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 25%
Unknown 3 75%
Readers by discipline Count As %
Linguistics 1 25%
Unknown 3 75%