This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Networks, ISNN 2007, held in Nanjing, China in June 2007. Coverage includes neural networks for control applications, robotics, data mining and feature extraction, chaos and synchronization, support vector machines, fault diagnosis/detection, image/video processing, and applications of neural networks.
Inhalt
Feedforward Neural Networks.- Using Three Layer Neural Network to Compute Multi-valued Functions.- A Novel Global Hybrid Algorithm for Feedforward Neural Networks.- Study on Relationship Between NIHSS and TCM-SSASD Based on the BP Neural Network Multiple Models Method.- Application of Back-Propagation Neural Network to Power Transformer Insulation Diagnosis.- Momentum BP Neural Networks in Structural Damage Detection Based on Static Displacements and Natural Frequencies.- Deformation Measurement of the Large Flexible Surface by Improved RBFNN Algorithm and BPNN Algorithm.- Evaluation of the Growth of Real Estate Financial System Based on BP Neural Network.- GA-Based Neural Network to Identification of Nonlinear Structural Systems.- Approximation Capability Analysis of Parallel Process Neural Network with Application to Aircraft Engine Health Condition Monitoring.- Neural Network-Based Position Sensorless Control for Transverse Flux Linear SRM.- Tourism Room Occupancy Rate Prediction Based on Neural Network.- Recurrent Neural Networks.- Recurrent Neural Networks on Duty of Anomaly Detection in Databases.- Solving Variational Inequality Problems with Linear Constraints Based on a Novel Recurrent Neural Network.- Equalization of 8PSK Signals with a Recurrent Neural Network.- Short-Term Load Forecasting Using BiLinear Recurrent Neural Network.- Convergence of Gradient Descent Algorithm for a Recurrent Neuron.- Periodicity of Recurrent Neural Networks with Reaction-Diffusion and Dirichlet Boundary Conditions.- New Critical Analysis on Global Convergence of Recurrent Neural Networks with Projection Mappings.- A Study on Digital Media Security by Hopfield Neural Network.- Two Theorems on the Robust Designs for Pattern Matching CNNs.- Iterative Learning Control Analysis Based on Hopfield Neural Networks.- Stochastic Stabilization of Delayed Neural Networks.- Neural Networks for Optimization.- An Evolutionary Multi-objective Neural Network Optimizer with Bias-Based Pruning Heuristic.- A Hybrid of Particle Swarm Optimization and Hopfield Networks for Bipartite Subgraph Problems.- Convergence of a Recurrent Neural Network for Nonconvex Optimization Based on an Augmented Lagrangian Function.- Multi-objective Topology Optimization of Structures Using NN-OC Algorithms.- A Hybrid Particle Swarm Algorithm for the Structure and Parameters Optimization of Feed-Forward Neural Network.- Designing Neural Networks Using PSO-Based Memetic Algorithm.- Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms.- A Neural Network Based Optimization Method for a Kind of QPPs and Application.- Multilayer Perceptron Networks Training Using Particle Swarm Optimization with Minimum Velocity Constraints.- Characterization and Optimization of the Contact Formation for High-Performance Silicon Solar Cells.- Optimizing Process Parameters for Ceramic Tile Manufacturing Using an Evolutionary Approach.- Application of RBF Neural Network to Simplify the Potential Based Optimization.- Satisficing Approximation Response Model Based on Neural Network in Multidisciplinary Collaborative Optimization.- A New BP Network Based on Improved PSO Algorithm and Its Application on Fault Diagnosis of Gas Turbine.- The Evaluation of BP-ISP Strategy Alignment Degree with PSO-Based ANN.- Improved Results on Solving Quadratic Programming Problems with Delayed Neural Network.- A Modified Hopfield Network for Nonlinear Programming Problem Solving.- A Novel Artificial Neural Network Based on Hybrid PSO-BP Algorithm in the Application of Adaptive PMD Compensation System.- Stabilizing Lagrange-Type Nonlinear Programming Neural Networks.- Support Vector Machines.- Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling.- Incremental Nonlinear Proximal Support Vector Machine.- Machinery Fault Diagnosis Using Least Squares Support Vector Machine.- Support Vector Machine with Composite Kernels for Time Series Prediction.- Neuromorphic Quantum-Based Adaptive Support Vector Regression for Tuning BWGC/NGARCH Forecast Model.- Modulation Classification of Analog and Digital Signals Using Neural Network and Support Vector Machine.- A Facial Expression Recognition Approach Based on Novel Support Vector Machine Tree.- Universal Steganalysis Using Multiwavelet Higher-Order Statistics and Support Vector Machines.- Tree-Structured Support Vector Machines for Multi-class Classification.- Identification of MIMO Hammerstein Models Using Support Vector Machine.- Extraction of Filled-In Items from Chinese Bank Check Using Support Vector Machines.- Online Least Squares Support Vector Machines Based on Wavelet and Its Applications.- Ultrasound Estimation of Fetal Weight with Fuzzy Support Vector Regression.- Hybrid Support Vector Machine and General Model Approach for Audio Classification.- An Improved SVM Based on 1-Norm for Selection of Personal Credit Scoring Index System.- Combining Weighted SVMs and Spectrum-Based kNN for Multi-classification.- Rotation Invariant Texture Classification Algorithm Based on DT-CWT and SVM.- A Two-Pass Classification Method Based on Hyper-Ellipsoid Neural Networks and SVM's with Applications to Face Recognition.- SVM Based Adaptive Inverse Controller for Excitation Control.- An Adaptive Internal Model Control Based on LS-SVM.- Regularization Paths for ?-SVM and ?-SVR.- A Fast and Accurate Progressive Algorithm for Training Transductive SVMs.- Fast Support Vector Data Description Using K-Means Clustering.- A Kernel-Based Two-Stage One-Class Support Vector Machines Algorithm.- A Confident Majority Voting Strategy for Parallel and Modular Support Vector Machines.- Soft-Sensor Method Based on Least Square Support Vector Machines Within Bayesian Evidence Framework.- Simulation of Time Series Prediction Based on Smooth Support Vector Regression.- Fault Diagnosis/Detection.- Extension Neural Network Based on Immune Algorithm for Fault Diagnosis.- A New Fault Detection and Diagnosis Method for Oil Pipeline Based on Rough Set and Neural Network.- Probabilistic Neural Network Based Method for Fault Diagnosis of Analog Circuits.- Gear Fault Diagnosis by Using Wavelet Neural Networks.- An Adaptive Threshold Neural-Network Scheme for Rotorcraft UAV Sensor Failure Diagnosis.- KPCA Plus FDA for Fault Detection.- Distribution System Fault Diagnosis Based on Improved Rough Sets with Uncertainty.- A Design Method of Associative Memory Model with Expecting Fault-Tolerant Field.- Classification and Diagnosis of Mechanical Faults Using the RBF Network Based on the Local Bispectra.- Temperature-Variation Fault Diagnosis of the High-Voltage Electric Equipment Based on the BP Neural Network.- Diagnosis of Turbine Valves in the Kori Nuclear Power Plant Using Fuzzy Logic and Neural Networks.- Communications and Signal Processing.- Stochastic Cellular Neural Network for CDMA Multiuser Detection.- A New Approach of Blind Channel Identification in Frequency Domain.- Soft Decision-Directed Square Contour Algorithm for Blind Equalization.- Call Admission Control Using Neural Network in Wireless Multimedia Networks.- A Neural Network Solution on Data Least Square Algorithm and Its Application for Channel Equalization.- Multiple Receive-Antennas Aided and RBF-Based Multiuser Detection for STBC Systems.- Location Management Cost Estimation for PCS Using Neural Network.- Neural-Based Separating Method for Nonlinear Mixtures.- Adaptive Natural Gradient Algorithm for Blind Convolutive Source Separation.- Blind Source …