Advances in Neural Networks - ISNN 2007

Neural Fuzzy Control.- Direct Adaptive Fuzzy-Neural Control for MIMO Nonlinear Systems Via Backstepping.- An Improved Fuzzy Neural Network for Ultrasonic Motors Control.- Adaptive Neuro-Fuzzy Inference System Based Autonomous Flight Control of Unmanned Air Vehicles.- A Novel Cross Layer Power Control Game Algorithm Based on Neural Fuzzy Connection Admission Controller in Cellular Ad Hoc Networks.- A Model Predictive Control of a Grain Dryer with Four Stages Based on Recurrent Fuzzy Neural Network.- Adaptive Nonlinear Control Using TSK-Type Recurrent Fuzzy Neural Network System.- GA-Based Adaptive Fuzzy-Neural Control for a Class of MIMO Systems.- Filtered-X Adaptive Neuro-Fuzzy Inference Systems for Nonlinear Active Noise Control.- Neural Network Based Multiple Model Adaptive Predictive Control for Teleoperation System.- Neural-Memory Based Control of Micro Air Vehicles (MAVs) with Flapping Wings.- Robust Neural Networks Control for Uncertain Systems with Time-Varying Delays and Sector Bounded Perturbations.- Switching Set-Point Control of Nonlinear System Based on RBF Neural Network.- Adaptive Tracking Control for the Output PDFs Based on Dynamic Neural Networks.- Adaptive Global Integral Neuro-sliding Mode Control for a Class of Nonlinear System.- Backstepping Control of Uncertain Time Delay Systems Based on Neural Network.- Neural Network in Stable Adaptive Control Law for Automotive Engines.- Neuro-fuzzy Adaptive Control of Nonlinear Singularly Perturbed Systems and Its Application to a Spacecraft.- Self-tuning PID Temperature Controller Based on Flexible Neural Network.- Hybrid Neural Network Controller Using Adaptation Algorithm.- Adaptive Output-Feedback Stochastic Nonlinear Stabilization Using Neural Network.- Neural Networks for Control Applications.- Adaptive Control for a Class of Nonlinear Time-Delay Systems Using RBF Neural Networks.- A Nonlinear ANC System with a SPSA-Based Recurrent Fuzzy Neural Network Controller.- Neural Control Applied to Time Varying Uncertain Nonlinear Systems.- Constrained Control of a Class of Uncertain Nonlinear MIMO Systems Using Neural Networks.- Sliding Mode Control for Missile Electro-hydraulic Servo System Using Recurrent Fuzzy Neural Network.- Modeling and Control of Molten Carbonate Fuel Cells Based on Feedback Neural Networks.- An Improved Approach of Adaptive Control for Time-Delay Systems Based on Observer.- Vibration Control of Block Forming Machine Based on an Artificial Neural Network.- Global Asymptotical Stability of Internet Congestion Control.- Dynamics of Window-Based Network Congestion Control System.- Realization of Neural Network Inverse System with PLC in Variable Frequency Speed-Regulating System.- Neural-Network-Based Switching Control for DC Motors System with LFR.- Adaptive Robust Motion Controller with Friction and Ripple Disturbance Compensation Via RBF Networks.- Robust Adaptive Neural Network Control for a Class of Nonlinear Systems with Uncertainties.- On Neural Network Switched Stabilization of SISO Switched Nonlinear Systems with Actuator Saturation.- Reheat Steam Temperature Composite Control System Based on CMAC Neural Network and Immune PID Controller.- Adaptive Control Using a Grey Box Neural Model: An Experimental Application.- H ??? Tracking Control of Descriptor Nonlinear System for Output PDFs of Stochastic Systems Based on B-Spline Neural Networks.- Steady-State Modeling and Control of Molecular Weight Distributions in a Styrene Polymerization Process Based on B-Spline Neural Networks.- A Neural Network Model Based MPC of Engine AFR with Single-Dimensional Optimization.- Adaptive Dynamic Programming and Reinforcement Learning.- Approximate Dynamic Programming for Ship Course Control.- Traffic Signal Timing with Neural Dynamic Optimization.- Multiple Approximate Dynamic Programming Controllers for Congestion Control.- Application of ADP to Intersection Signal Control.- The Application of Adaptive Critic Design in the Nosiheptide Fermentation.- On-Line Learning Control for Discrete Nonlinear Systems Via an Improved ADDHP Method.- Reinforcement Learning Reward Functions for Unsupervised Learning.- A Hierarchical Learning System Incorporating with Supervised, Unsupervised and Reinforcement Learning.- A Hierarchical Self-organizing Associative Memory for Machine Learning.- Enclosing Machine Learning for Class Description.- An Extremely Simple Reinforcement Learning Rule for Neural Networks.- Online Dynamic Value System for Machine Learning.- Extensions of Manifold Learning Algorithms in Kernel Feature Space.- A Kernel-Based Reinforcement Learning Approach to Dynamic Behavior Modeling of Intrusion Detection.- Long-Term Electricity Demand Forecasting Using Relevance Vector Learning Mechanism.- An IP and GEP Based Dynamic Decision Model for Stock Market Forecasting.- Application of Neural Network on Rolling Force Self-learning for Tandem Cold Rolling Mills.- Neural Networks for Nonlinear Systems Modeling.- Recurrent Fuzzy CMAC for Nonlinear System Modeling.- A Fast Fuzzy Neural Modelling Method for Nonlinear Dynamic Systems.- On-Line T-S Fuzzy Model Identification with Growing and Pruning Rules.- Improvement Techniques for the EM-Based Neural Network Approach in RF Components Modeling.- A Novel Associative Memory System Based Modeling and Prediction of TCP Network Traffic.- A Hybrid Knowledge-Based Neural-Fuzzy Network Model with Application to Alloy Property Prediction.- A Novel Multiple Improved PID Neural Network Ensemble Model for pH Value in Wet FGD.- Acoustic Modeling Using Continuous Density Hidden Markov Models in the Mercer Kernel Feature Space.- TS-Neural-Network-Based Maintenance Decision Model for Diesel Engine.- Delay Modelling at Unsignalized Highway Nodes with Radial Basis Function Neural Networks.- Spectral Correspondence Using the TPS Deformation Model.- Dynamic Behavioral Models for Wideband Wireless Transmitters Stimulated by Complex Signals Using Neural Networks.- An Occupancy Grids Building Method with Sonar Sensors Based on Improved Neural Network Model.- Adaptive Network-Based Fuzzy Inference Model of Plasma Enhanced Chemical Vapor Deposition Process.- Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process.- Nonlinear Systems Modeling Using LS-SVM with SMO-Based Pruning Methods.- Pattern-Oriented Agent-Based Modeling for Financial Market Simulation.- Non-flat Function Estimation Using Orthogonal Least Squares Regression with Multi-scale Wavelet Kernel.- Tension Identification of Multi-motor Synchronous System Based on Artificial Neural Network.- Operon Prediction Using Neural Network Based on Multiple Information of Log-Likelihoods.- RST-Based RBF Neural Network Modeling for Nonlinear System.- A New Method for Accelerometer Dynamic Compensation Based on CMAC.- Modelling of Dynamic Systems Using Generalized RBF Neural Networks Based on Kalman Filter Mehtod.- Recognition of ECoG in BCI Systems Based on a Chaotic Neural Model.- Robotics.- Plan on Obstacle-Avoiding Path for Mobile Robots Based on Artificial Immune Algorithm.- Obstacle Avoidance Path Planning for Mobile Robot Based on Ant-Q Reinforcement Learning Algorithm.- Monocular Vision Based Obstacle Detection for Robot Navigation in Unstructured Environment.- Attention Selection with Self-supervised Competition Neural Network and Its Applications in Robot.- Kinematic Analysis, Obstacle Avoidance and Self-localization for a Mobile Robot.- Mobile Robot Self-localization Based on Feature Extraction of Laser Scanner Using Self-organizing Feature Mapping.- Generalized Dynamic Fuzzy Neural Network-Based Tracking Control of Robot Manipulators.- A 3-PRS Parallel Manipulator Control Based on Neural Network.- Neural Network Based Kinematic Control of the Hyper-Redundant Snake-Like Manipulator.- Neural Network Based Algorithm for Multi-Constrained Shortest Path Problem.- Neuro-Adaptive Formation Control of Multi-Mobile Vehicles: Virtual Leader Based Path Planning and Tracking.- A Multi-stage Competitive Neural Networks Approach for Motion Trajectory Pattern Learning.- Neural Network-Based Robust Tracking Control for Nonholonomic Mobile Robot.- Enhance Computational Efficiency of Neural Network Predictive Control Using PSO with Controllable Random Exploration Velocity.- Ultrasonic Sensor Based Fuzzy-Neural Control Algorithm of Obstacle Avoidance for Mobile Robot.- Appearance-Based Map Learning for Mobile Robot by Using Generalized Regression Neural Network.- Design of Quadruped Robot Based Neural Network.- A Rough Set and Fuzzy Neural Petri Net Based Method for Dynamic Knowledge Extraction, Representation and Inference in Cooperative Multiple Robot System.- Hybrid Force and Position Control of Robotic Manipulators Using Passivity Backstepping Neural Networks.- Stability Analysis of Neural Networks.- New Global Asymptotic Stability Criterion for Uncertain Neural Networks with Time-Varying and Distributed Delays.- Equilibrium Points and Stability Analysis of a Class of Neural Networks.- Global Exponential Stability of Fuzzy Cohen-Grossberg Neural Networks with Variable Delays.- Some New Stability Conditions of Delayed Neural Networks with Saturation Activation Functions.- Finite-Time Boundedness Analysis of Uncertain Neural Networks with Time Delay: An LMI Approach.- Global Asymptotic Stability of Cellular Neutral Networks With Variable Coefficients and Time-Varying Delays.- Exponential Stability of Discrete-Time Cohen-Grossberg Neural Networks with Delays.- The Tracking Speed of Continuous Attractors.- Novel Global Asymptotic Stability Conditions for Hopfield Neural Networks with Time Delays.- Periodic Solution of Cohen-Grossberg Neural Networks with Variable Coefficients.- Existence and Stability of Periodic Solution of Non-autonomous Neural Networks with Delay.- Stability Analysis of Generalized Nonautonomous Cellular Neural Networks with Time-Varying Delays.- LMI-Based Approach for Global Asymptotic Stability Analysis of Discrete-Time Cohen-Grossberg Neural Networks.- Novel LMI Criteria for Stability of Neural Networks with Distributed Delays.- Asymptotic Convergence Properties of Entropy Regularized Likelihood Learning on Finite Mixtures with Automatic Model Selection.- Existence and Stability of Periodic Solutions for Cohen-Grossberg Neural Networks with Less Restrictive Amplification.- Global Exponential Convergence of Time-Varying Delayed Neural Networks with High Gain.- Global Asymptotic Stability of Cohen-Grossberg Neural Networks with Mixed Time-Varying Delays.- Differences in Input Space Stability Between Using the Inverted Output of Amplifier and Negative Conductance for Inhibitory Synapse.- Global Asymptotical Stability for Neural Networks with Multiple Time-Varying Delays.- Positive Solutions of General Delayed Competitive or Cooperative Lotka-Volterra Systems.- An Improvement of Park-Chung-Cho’s Stream Authentication Scheme by Using Information Dispersal Algorithm.- Dynamics of Continuous-Time Neural Networks and Their Discrete-Time Analogues with Distributed Delays.- Dynamic Analysis of a Novel Artificial Neural Oscillator.- Learning and Approximation.- Ensembling Extreme Learning Machines.- A Robust Online Sequential Extreme Learning Machine.- An Improved On-Line Sequential Learning Algorithm for Extreme Learning Machine.- Intelligence Through Interaction: Towards a Unified Theory for Learning.- An Improved Multiple-Instance Learning Algorithm.- Uniform Approximation Capabilities of Sum-of-Product and Sigma-Pi-Sigma Neural Networks.- Regularization for Regression Models Based on the K-Functional with Besov Norm.- Neuro-electrophysiological Argument on Energy Coding.- A Cognitive Model of Concept Learning with a Flexible Internal Representation System.- Statistical Neurodynamics for Sequence Processing Neural Networks with Finite Dilution.- A Novel Elliptical Basis Function Neural Networks Model Based on a Hybrid Learning Algorithm.- A Multi-Instance Learning Algorithm Based on Normalized Radial Basis Function Network.- Neural Networks Training with Optimal Bounded Ellipsoid Algorithm.- Efficient Training of RBF Networks Via the BYY Automated Model Selection Learning Algorithms.- Unsupervised Image Categorization Using Constrained Entropy-Regularized Likelihood Learning with Pairwise Constraints.- Mistaken Driven and Unconditional Learning of NTC.- Investigation on Sparse Kernel Density Estimator Via Harmony Data Smoothing Learning.- Analogy-Based Learning How to Construct an Object Model.- Informative Gene Set Selection Via Distance Sensitive Rival Penalized Competitive Learning and Redundancy Analysis.- Incremental Learning and Its Application to Bushing Condition Monitoring.- Approximation Property of Weighted Wavelet Neural Networks.- Estimation of State Variables in Semiautogenous Mills by Means of a Neural Moving Horizon State Estimator.- Learning and Approximation.- A New Adaptive Neural Network Model for Financial Data Mining.- A Comparison of Four Data Mining Models: Bayes, Neural Network, SVM and Decision Trees in Identifying Syndromes in Coronary Heart Disease.- A Concept Lattice-Based Kernel Method for Mining Knowledge in an M-Commerce System.- A Novel Data Mining Method for Network Anomaly Detection Based on Transductive Scheme.- Handling Missing Data from Heteroskedastic and Nonstationary Data.- A Novel Feature Vector Using Complex HRRP for Radar Target Recognition.- A Probabilistic Approach to Feature Selection for Multi-class Text Categorization.- Zero-Crossing-Based Feature Extraction for Voice Command Systems Using Neck-Microphones.- Memetic Algorithms for Feature Selection on Microarray Data.- Feature Bispectra and RBF Based FM Signal Recognition.- A Rotated Image Matching Method Based on CISD.