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Advances in Neural Networks - ISNN 2007

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This book is part of a three volume set that constitutes the refereed proceedings of the 4th International Symposium on Neural Ne... Weiterlesen
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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.


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.


Titel: Advances in Neural Networks - ISNN 2007
Untertitel: 4th International Symposium on Neutral Networks, ISNN 2007 Nanjing, China, June 3-7, 2007. Proceedings, Part I
EAN: 9783540723837
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 1359
Veröffentlichung: 14.07.2007
Dateigrösse: 41.5 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"