Advances in Neural Networks -- ISNN 2011

Name: Advances in Neural Networks -- ISNN 2011 | 8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Prodceedings, Part III
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8th International Symposium on Neural Networks, ISNN 2011, Guilin, China, May 29--June 1, 2011, Prodceedings, Part III

Derong Liu Huaguang Zhang Marios Polycarpou Cesare Alippi Haibo He(Editor)

Springer (Publisher)

Published on 20. May 2011

XXII, 642 pages

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978-3-642-21111-9 (ISBN)

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Content

Title
Preface
Organization
Table of Contents
Reinforcement Learning and Decision Making
An Adaptive Dynamic Programming Approach for Closely-Coupled MIMO System Control
Introduction
ADP for System with Multiple Control Variables
Critic Network
Action Network
Case Study with Looper Tension/Height System
Experiment 1: Nominal Model with External Noise
Experiment 2: Generalized Model with Internal Perturbation and External Noise
Conclusions
References
Adaptive Dual Heuristic Programming Based on Delta-Bar-Delta Learning Rule
Introduction
Dual Heuristic Programming
Adaptive Learning Rates Based on the Delta-Bar-Delta Rule
The Delta-Bar-Delta Rule
Adopting Delta-Bar-Delta for DHP
Experiments and Analysis
The Inverted Pendulum Problem
Implementation and Evaluation
Conclusion
References
A Design Decision-Making Support Model for Prioritizing Affective Qualities of Product
Introduction
Theoretical Background
The Extended Kano Model
Identification of the Extended Kano Qualities
The Verified Experiment Design for the Extended Kano Model
Result and Discussion
The Classification of Affective Qualities Based on the Extended Kano Model
A Design Decision-Making Support Model for Prioritizing Affective Qualities
Conclusion
References
Local Search Heuristics for Robotic Routing Planner
Problem Area and Related Work
Problem Formalization
CP Model Based on Network Flows
CP Model Based on Finite State Automaton
CP Model Embedded in Local Search
Experiments
Performance of Pure CP Models
Performance of Local Search
From High-Level Planning to Real World
Conclusions
References
Action and Motor Control
Fuzzy Disturbance-Observer Based Control of Electrically Driven Free-Floating Space Manipulator
Introduction
Modeling and Equations of Motion
Controller Design
Fuzzy Disturbance Observer
Controller Design
Simulation Study
Conclusion
References
Dynamic Neural Network Control for Voice Coil Motor with Hysteresis Behavior
Introduction
Dynamic Neural Network Basis on Dynamic Activation Function
Dynamic Neuron
Improved Learn Method for Dynamic Neural Network
Hysteresis Model for VCM
Design of Controller
Improved Dynamic Neural Network Adaptive Inverse Control
4.2 Simulation Result for Adaptive Inverse Control
Conclusion
References
A New Model Reference Adaptive Control of PMSM Using Neural Network Generalized Inverse
Introduction
Generalized Inverse System of PMSM
Design of MRAC-NNGI Controller
Design of NNGI
Design of MRAC Controller
Verifications
Conclusion
References
RBF Neural Network Application in Internal Model Control of Permanent Magnet Synchronous Motor
Introduction
PMSM Model and Its Inverse
RBF-NNI System Application in Internal Model Control
RBF Neural Network
RBF Neural Network Inverse System
Design Internal Model Controllers
Simulation Results
Conclusion
References
Transport Control of Underactuated Cranes
Introduction
System Model
Design of RBF Network-Based Sliding Mode Controller
Simulation Results
Conclusion
References
Sliding Mode Prediction Based Tracking Control for Discrete-time Nonlinear Systems
Introduction
Problem Formulation
Main Results
The Creation of Sliding Mode Prediction Model (SMPM)
The Feedback Correction for SMPM
The Selection of Sliding Mode Reference Trajectory (SMRT)
The Construction of Control Law
The Analysis of Robustness
Numerical Simulation
Conclusions
References
Adaptive and Hybrid Intelligent Systems
A Single Shot Associated Memory Based Classification Scheme for WSN
Introduction
Related Work
A Simple GN-Based Classifier
False Positive Detection Problem in GN
Proposed Scheme
System Model
Proposed Protocol
Simulation Work
Conclusion and Future Work
References
Dynamic Structure Neural Network for Stable Adaptive Control of Nonlinear Systems
Introduction
Problem Statement
Adaptive Algorithm
Adaptive Predictive Control Algorithm
Simulation
Conclusions
References
A Position-Velocity Cooperative Intelligent Controller Based on the Biological Neuroendocrine System
Introduction
PVCIC Structure Design Inspired from NES
Regulation Mechanism of NES
Controller Structure Design
Algorithm Design
CU Design
IOCU Design
Parameters Tuning
Tuning Steps
Results and Discussion
Conclusions
References
A Stable Online Self-Constructing Recurrent Neural Network
Introduction
Structure of Novel Recurrent Neural Network
Online Self-Constructing Algorithm
Growing Algorithm and Pruning Algorithm
Learning Algorithm
The Stability Analysis
Experimental Results
Conclusion
References
Evaluation of SVM Classification of Avatar Facial Recognition
Introduction
System Description
Problematic
Developed Recognition System
Extracted Features for Characterization
SVM Classification
Experimental Tests and Results
Dataset Description
Tests
Evaluation of Our Classification Methodology
Recorded Results
Conclusion and Future Works
References
Optimization Control of Rectifier in HVDC System with ADHDP
Introduction
Principle of ADHDP Method
Design of ADHDP-based Rectifier Controller
Simulation Results
Conclusions
References
Network Traffic Prediction Based on Wavelet Transform and Season ARIMA Model
Introduction
Wavelet and SARIMA Model Based Prediction
Wavelet Transformation
SARIAM Model
Wavelet Transform and Prediction Model
Network Traffic Prediction
Result Analysis
Conclusion
References
Dynamic Bandwidth Allocation for Preventing Congestion in Data Center Networks
Introduction
The Network Virtualization Architecture
Dynamic Bandwidth Allocation
Performance Evaluation
Conclusion
References
Software Comparison Dealing with Bayesian Networks
Introduction
Formalism of Bayesian Networks
Basic Concepts
Problems Associated with Bayesian Networks
Study on Applications of Learning Bayesian Networks
Comparison of Tools Manipulating Bayesian Networks
Conclusion
References
Adaptive Synchronization on Edges of Complex Networks
Introduction
Preliminaries
Distributed Adaptive Control in Complex Networks
Distributed Adaptive Control in Complex Networks
Distributed Adaptive Pinning Weights Control in Complex Networks
Simulation Examples
Conclusions
References
Application of Dual Heuristic Programming in Excitation System of Synchronous Generators
Introduction
Dual Heuristic Programming
Principle of Dual Heuristic Programming
Neural Network Implementation for DHP
Procedure of DHP Method
The Application of DHP in Excitation System of Synchronous Generators
Single Machine Infinite Bus Power System
The Excitation Controller Design Based on DHP
Simulation and Results
Conclusions
References
A Neural Network Method for Image Resolution Enhancement from a Multiple of Image Frames
Introduction
Problem Statement
The Proposed Neural Network Structure
The PRE Network
The AI Network
Output Network
Training the Proposed Network
Preliminary Experimental Results
Summary and Future Work
References
Multiparty Simultaneous Quantum Secure Direct Communication Based on GHZ States and Mutual Authentication
Introduction
Preliminaries
Multiparty Simultaneous QSDC Protocol
Quantum State Distribution Process
Many-to-One Direct Communication Process
Security and Efficiency Analysis
Security Analysis
Efficiency Analysis
Conclusions
References
A PSO-Based Bacterial Chemotaxis Algorithm and Its Application
Introduction
Bacterial Chemotaxis Algorithm
The PSO-Based Bacterial Chemotaxis Algorithm
Benchmark Function Tests
Optimal Operation of Cascade Hydropower Stations Based on BC-PSO
Conclusions
References
Predicting Stock Index Using an Integrated Model of NLICA, SVR and PSO
Introduction
Methodology
Independent Component Analysis
Support Vector Regression
Particle Swarm Optimization
The Integrated NLICA-SVR-PSO Scheme
Experimental Results
Conclusion
References
Affective Classification in Video Based on Semi-supervised Learning
Introduction
Methods
Feature Extraction
Feature Selection
Introduction to Semi-supervised Classification of LDS
Experiment
Experimental Condition
Results
Conclusions
References
Incorporating Feature Selection Method into Neural Network Techniques in Sales Forecasting of Computer Products
Introduction
Methodology
Multivariate Adaptive Regression Splines
Support Vector Regression
Cerebellar Model Articulation Controller Neural Network
The Proposed Two-Stage Forecasting Scheme
Experimental Results
Conclusion
References
Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method
Introduction
Design of the IG-Based Fuzzy Inference Systems
Optimization of IG-Based Fuzzy Inference Systems
Multi-objective Space Search Algorithm
Successive Tuning of IG-FIS
Objective Functions of IG-FIS
Experimental Studies
NOx Emission Process Data of Gas Turbine Power Plant
Chaotic Mackey-Glass Time Series
Concluding Remarks
References
Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning
Introduction
A Design of the FRBFNN
Architecture of the FRBFNN
Premise Part of the FRBFNN with the Use of Fuzzy C-Means
Consequence Part of the FRBFNN with the Use of Least Square Method
Optimization of the FRBFNN
Multi-objective Space Search Algorithm
Objective Functions of FRBFNN
Experimental Studies
Automobile Miles Per Gallon (MPG) Data
Boston Housing Data
Concluding Remarks
References
The Research of Power Battery with Ultra-capacitor for Hybrid Vehicle
Introduction
Power System Structure
Main Results
Motor
Power Batteries with Ultra-capacitor
The Tests in Practical Situation
Conclusions
References
Neuroinformatics and Bioinformatics
Stability Analysis of Genetic Regulatory Networks with Mixed Time-Delays
Introduction
Some Preliminaries
Existence and Uniqueness of Equilibrium Point
Stability Analysis
Numerical Simulations
Conclusions
References
Representing Boolean Functions Using Polynomials: More Can Offer Less
Introduction
Main Result
A Comparison Example
Concluding Remarks
References
The Evaluation of Land Utilization Intensity Based on Artificial Neural Network
Introduction
Survey Methods and Sample Structure
Survey Methods
Sample Structure
Overview of Artificial Neural Network
Construction of Artificial Neural Network
Application of Artificial Neural Network
Result of the Evaluation
The Land Intensive Degree Is Generally High in Zhejiang
The Land Intensive Degree Exist Spatial Difference
Intensive Degree Is Highly Correlated with Economic Development
Summary and Conclusions
References
Dimension Reduction of RCE Signal by PCA and LPP for Estimation of the Sleeping
Introduction
Rhythmic Component Extraction
Electroencephalograph
Experimental Procedure
Results and Discussions
Conclusions
References
Prediction of Oxygen Decarburization Efficiency Based on Mutual Information Case-Based Reasoning
Introduction
Oxygen Decarburization Efficiency and Case-Based Reasoning Based on Mutual Information
Case Description
Case Retrieval
Case Reuse, Modification and Save
Simulations
Conclusions
References
Off-line Signature Verification Based on Multitask Learning
Introduction
Feature Extraction
Multitask Support Vector Machines
The Strategy for Signature Verification
Experiments
The Evaluation of Experiments
Experiments on GPDS Database
Experiments on MCYT Database
Conclusion and Future Work
References
Modeling and Classification of sEMG Based on Instrumental Variable Identification
Introduction
Modeling of Two-Channel Electromyography Signals
Instrumental Variable Blind Identification
Movement Patterns Identification
Experimental Result
Conclusion
References
Modeling and Classification of sEMG Based on Blind Identification Theory
Introduction
Hammerstein-Wiener Model
Cyclostationary Signals and Statistical Properties
Hammerstein-Wiener Model Identification
Parameters a, ? Identification
Parameters li Identification
Parameters ßi Identification
Improved BP Neural Network Classifier
Experimental Results
Conclusion and Prospects
References
Micro-Blood Vessel Detection Using K-means Clustering and Morphological Thinning
Introduction
System Description
Algorithm
Experiments
Conclusions
References
PCA Based Regional Mutual Information for Robust Medical Image Registration
Introduction
Related Methods
Mutual Information
Regional Mutual Information
Our Proposed Method
Experimental Results
Conclusions
References
Discrimination of Thermophilic and Mesophilic Proteins via Artificial Neural Networks
Introduction
Materials and Methods
Dataset
Feature extraction
Discrimination Method
Experimental Results
Conclusion
References
Information Retrieval
Using Grey Relation Analysis and TOPSIS to Measure PCB Manufacturing Firms Efficiency in Taiwan
Introduction
A Conceptual Framework
Initial Performance Indicators Set
Grey Relation Analysis and TOPSIS
Application
Conclusions
References
Application of Neural Network for the Prediction of Eco-efficiency
Introduction
Eco-efficiency
Data Preprocessing
Creating of a Neural Model
Results
Conclusions
References
Using Associative Memories for Image Segmentation
Introduction
Extended Associative Memories
The EAM Training Phase
The EAM Classification Phase
Proposed Algorithm
Experimental Results and Discussion
Conclusiones
References
Web Recommendation Based on Back Propagation Neural Networks
Introduction
Unified Collaborative Filtering Model Based on Classifier
Mining Latent Features for User and Web services
Foundation of Probabilistic Latent Semantic Analysis
Calculating the Latent Features
Experiments
Data Sets
Evaluation Metric and Experiment Setup
Results of Prediction for Web Recommendation
Results of Ranking Scenario on Web Log Data Set
Conclusions
References
A Multi-criteria Target Monitoring Strategy Using MinMax Operator in Formed Virtual Sensor Networks
Introduction
Related Work
Implementation of Multi-criteria Target Monitoring Strategy
Distributed Clustering Process
Virtual Sensor Network Formation
MinMax Operator Based Multi-criteria Monitoring
Performance Evaluation
Conclusion
References
Data Mining and Knowledge Discovery
Application of a Novel Data Mining Method Based on Wavelet Analysis and Neural Network Satellite Clock Bias Prediction
Introduction
Design Scheme of Clock Bias Prediction Model
Data Processing Based on Wavelet Analysis
Prediction Based on FONN Neural Network
Brief Introduction of Neural Network
Prediction of Coefficients of Every Layer
Test Procedure and Results
Conclusions and Further Research
References
Particle Competition and Cooperation for Uncovering Network Overlap Community Structure
Introduction
Model Description
Computer Simulations
Conclusions
References
Part-Based Transfer Learning
Introduction
Background Knowledge
Transfer Learning
SVMs
Our Proposed Method
Part-Based Transfer Learning (pbTL)
Explanation about pbTL
Experiments and Results
Conclusion and Future Work
References
A Parallel Wavelet Algorithm Based on Multi-core System and Its Application in the Massive Data Compression
Introduction
OpenMP
Principle of Parallel Wavelet and Wavelet Packet Mallat Algorithms
Principle of Parallel Wavelet Mallat Algorithm
Principle of Parallel Wavelet Packet Mallat Algorithm
The Implementation of Parallel Mallat Algorithms Based on OpenMP
The Implementation of Parallel Wavelet Mallat Algorithms
Implementation of Parallel Wavelet Packet Mallat Algorithms
The Compression Data Experiment
Experiment Plans
Experiment Conclusions
Conclusions
References
Predicting Carbon Emission in an Environment Management System
Introduction
Backgrounds
Environment Management System
Attributes of an EMS
Tools and Related Studies
Case Study
Cast Study Setting
Data Collection and Processing
Modeling and Analysis
Discussions and Conclusion
References
Classification of Pulmonary Nodules Using Neural Network Ensemble
Introduction
Bayesian Criterion-Based Neural Network Ensemble
The Component Neural Networks
Combination of the Outputs of the Individual Neural Networks
Experiment and Results
Data Source
Feature Extraction
Design of the Classification Scheme
Experimental Classification Results
Discussion and Conclusion
References
Combined Three Feature Selection Mechanisms with LVQ Neural Network for Colon Cancer Diagnosis
Introduction
The Approach of Feature Gene Selection
Filtering Out Irrelevant Categories Genes Using Bhattacharyya Distance
Removing Strong Correlation Redundant Genes
Extracting Principal Component Based on Principal Component Analysis
Learning Vector Quantization Neural Network (LVQNN)
Calculation Example Analysis
Conclusion
References
Estimation of Groutability of Permeation Grouting with Microfine Cement Grouts Using RBFNN
Introduction and the Existing Approaches
Application of RBFNN to Groutability Prediction
Study Area
Influence Parameters of the N
The Proposed RBFNN
Results
Results of Empirical Formula
Results of RBFNN Models with Different Input Ns
Comparison among RBFNN Models
Comparison with Results from Support Vector Machines (SVM)
Conclusions and Suggestions
References
Improving Text Classification with Concept Index Terms and Expansion Terms
Introduction
Classification with Concept Index Terms and Expansion Terms
Select Max-Relevance Terms
Remove Redundant Terms
Map Expansion Terms
Experiments and Results
Conclusion
References
Automated Personal Course Scheduling Adaptive Spreading Activation Model
Introduction
Related Works
Generating Course Schedules
Getting Syllabus Text Data
Curriculum Analyzing
User Profile
Course Scheduling
Example of Output
Experiment
Outline of Test
Outline of Evaluation Test
Results
Discussion
Conclusions and Future Work
References
Transfer Learning through Domain Adaptation
Introduction
Some Assumptions for Handling Data Transfer
Task Formalism and Domain Adaptation
Experiments
Data Sets
Results and Evaluation
Conclusions
References
The Design of Evolutionary Multiple Classifier System for the Classification of Microarray Data
Introduction
The Design of Evolutionary MCS
The Design of GA-1
The Design of GA-2
Experimental Results and Discussion
Conclusion
References
Semantic Oriented Clustering of Documents
Introduction
Text Clustering Engine
The EuroWordNet Semantic Network
Semantic Orientation Tagging and Metric
Tagging EuroWordNet
Validation of the Tagging Process
Semantically Oriented Metric
Experimental Results
Conclusions
References
Support Vector Machines versus Back Propagation Algorithm for Oil Price Prediction
Introduction
Support Vector Machines
Dataset Information Attributes
Modelling the Oil Price Prediction System
Data Processing Phase
SVM Learning Phase
ANN Learning Phase
Experimental Results and Discussion
Conclusion
References
Ultra-Short Term Prediction of Wind Power Based on Multiples Model Extreme Leaning Machine
Forecasting Model
Extreme Learning Machine Models
Suspending Criterion
Suspending Model
Updating Model
Weighting Output
Ultra-Short Term Wind Power Predict Model
Experiment Results
Conclusions
References
BursT: A Dynamic Term Weighting Scheme for Mining Microblogging Messages
Introduction
Motivation
Problem Statements
Related Work
The Proposed Term Weighting Method for Microblogging Messages
Fundamental Concepts of Sliding Window Model
The BursT Weighting Method
Experiments and Results
Data Source
Preliminary Experiment
Concept Drift with Burst Features and Oral Features
Conclusion
References
Towards an RDF Encoding of ConceptNet
Introduction
Semantic Web
Concept Net
Other Resources
Common Sense and Ontology Based Applications
Encoding ConceptNet in RDF
Linking ConceptNet to WordNet
Extending ConceptNet with Affective Information
Conclusion and Future Works
References
Modeling of Potential Customers Identification Based on Correlation Analysis and Decision Tree
Introduction
Published Solutions
Problems of Published Solutions
Outline of Article
Data Preprocessing
Variable Selection
Data Cleansing
Final Variables
Data Mining
Step 1: With the Application of Association Analysis Based on Apriori Algorithm, We Will Find Rules by Mining Data in the Training Set for Identifying Potential Customers
Step 2: With the Application of Decision Tree Based on C4.5 Algorithm, We Will Find Rules by Mining Data in the Training Set for Identifying Sustainable Consumption Customers
Integration Rules
Model Validation
Conclusion
References
An Innovative Feature Selection Using Fuzzy Entropy
Introduction
FEMFSS Method
Classifying Features
Finding Features' Subsets
Experimental Results
Conclusion
References
Study on the Law of Short Fatigue Crack Using Genetic Algorithm-BP Neural Networks
Introduction
Fusion between BP Neural Network and Genetic Algorithm
BP Neural Network
Genetic Algorithm(GA)
Introducing Genetic Algorithm to Improve BP Neural Network
Low Cycle High-Temperature Fatigue Crack Experiments
The Evolution of Short Fatigue Cracks GA-BP Neural Network Model
Genetic Algorithm-BP Neural Network Model of Short Fatigue Crack Growth Rate
Establish and Verify the Genetic Algorithm-BP Neural Network
Genetic Algorithm-BP Neural Network Model of Short Fatigue Crack Density
Conclusion
References
Natural Language Processing
Large Vocabulary Continuous Speech Recognition of Uyghur: Basic Research of Decoder
Introduction
Bayes Decision Theory
Dynamic Time Warping
End-Point Constraints
Global Constraints
Local Constraints
The Cost
References
Sentic Medoids: Organizing Affective Common Sense Knowledge in a Multi-Dimensional Vector Space
Introduction
Opinion Mining and Sentiment Analysis
AffectiveSpace
The Hourglass of Emotions
Sentic Medoids
Evaluation
Conclusion and Future Efforts
References
Detecting Emotions in Social Affective Situations Using the EmotiNet Knowledge Base
Introduction
State of the Art
Motivation and Contribution
Modelling Affective Reactions Using Appraisal Models
ISEAR - Self-Reported Affect
Semantic Role Modelling of Situations
Models of Emotion
Ontology Design
Ontology Extension and Population
Ontology Expansion
Experiments and Evaluation
Experimental Setup
Empirical Results
Discussion
Conclusions and Future Work
References
3-layer Ontology Based Query Expansion for Searching
Introduction
The Schema of 3-layer Ontology
The Main Schema
Structure of 3-layer Ontology
Construction of 3-layer Ontology
Query Expansion
OKER
Top-Down Expansion
Synonyms Expansion
Bottom-Up Expansion
Backtracking Expansion
Experiment
Experiment Environment
Experiment Process
Result Analysis
Conclusion
References
Chinese Speech Recognition Based on a Hybrid SVM and HMM Architecture
Introduction
Speech Recognition Algorithm
Support Vector Model
Hidden Markov Model
Improved Algorithm for Chinese Speech Recognition Based on SVM/HMM
Improved Algorithm Combining HMM and SVM
Improvement of SR Interface
Experimental Results Compare
Conclusions
References
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Advances in Neural Networks -- ISNN 2011

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