The Sixth International Symposium on Neural Networks (ISNN 2009) (Paperback)

Session 1: Theoretical Analysis.- The Initial Alignment of SINS Based on Neural Network.- Analysis on Basic Conceptions and Principles of Human Cognition.- Global Exponential Stability for Discrete-Time BAM Neural Network with Variable Delay.- The Study of Project Cost Estimation Based on Cost-Significant Theory and Neural Network Theory.- Global Exponential Stability of High-Order Hopfield Neural Networks with Time Delays.- Improved Particle Swarm Optimization for RCP Scheduling Problem.- Exponential Stability of Reaction-Diffusion Cohen-Grossberg Neural Networks with S-Type Distributed Delays.- Global Exponential Robust Stability of Static Reaction-Diffusion Neural Networks with S-Type Distributed Delays.- A LEC-and-AHP Based Hazard Assessment Method in Hydroelectric Project Construction.- A Stochastic Lotka-Volterra Model with Variable Delay.- Extreme Reformulated Radial Basis Function Neural Networks.- Research of Nonlinear Combination Forecasting Model for Insulators ESDD Based on Wavelet Neural Network.- Parameter Tuning of MLP Neural Network Using Genetic Algorithms.- Intelligent Grid of Computations.- Method of Solving Matrix Equation and Its Applications in Economic Management.- Efficient Feature Selection Algorithm Based on Difference and Similitude Matrix.- Exponential Stability of Neural Networks with Time-Varying Delays and Impulses.- Session 2: Machine Learning.- Adaptive Higher Order Neural Networks for Effective Data Mining.- Exploring Cost-Sensitive Learning in Domain Based Protein-Protein Interaction Prediction.- An Efficient and Fast Algorithm for Estimating the Frequencies of 2-D Superimposed Exponential Signals in Presence of Multiplicative and Additive Noise.- An Improved Greedy Based Global Optimized Placement Algorithm.- An Alternative Fast Learning Algorithm of Neural Network.- Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.- Margin-Based Transfer Learning.- Session 3: Support Vector Machines and Kernel Methods.- Nonlinear Dead Zone System Identification Based on Support Vector Machine.- A SVM Model Selection Method Based on Hybrid Genetic Algorithm and Empirical Error Minimization Criterion.- An SVM-Based Mandarin Pronunciation Quality Assessment System.- An Quality Prediction Method of Injection Molding Batch Processes Based on Sub-Stage LS-SVM.- Soft Sensing for Propylene Purity Using Partial Least Squares and Support Vector Machine.- Application of Support Vector Machines Method in Credit Scoring.- Session 4: Pattern Recognition.- Improving Short Text Clustering Performance with Keyword Expansion.- Nonnative Speech Recognition Based on Bilingual Model Modification at State Level.- Edge Detection Based on a PCNN-Anisotropic Diffusion Synergetic Approach.- Automatic Face Recognition Systems Design and Realization.- Multi-view Face Detection Using Six Segmented Rectangular Features.- Level Detection of Raisins Based on Image Analysis and Neural Network.- English Letters Recognition Based on Bayesian Regularization Neural Network.- Iris Disease Classifying Using Neuro-Fuzzy Medical Diagnosis Machine.- An Approach to Dynamic Gesture Recognition for Real-Time Interaction.- Dynamic Multiple Pronunciation Incorporation in a Refined Search Space for Reading Miscue Detection.- Depicting Diversity in Rules Extracted from Ensembles.- A New Statistical Model for Radar HRRP Target Recognition.- Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.- The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks.- Geometry Algebra Neuron Based on Biomimetic Pattern Recognition.- A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.- An Integration Model Based on Non-classical Receptive Fields.- Classification of Imagery Movement Tasks for Brain-Computer Interfaces Using Regression Tree.- MIDBSCAN: An Efficient Density-Based Clustering Algorithm.- De