Advances in Neural Networks- ISNN 2013 [electronic resource] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II /
Guo, Chengan.editor.
Hou, Zeng-Guang.editor.
Zeng, Zhigang.editor.
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
Bibliographic Level Mode of Issuance: Monograph
Control, Robotics and Hardware -- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors -- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader -- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm -- Stability Analysis on Pattern-Based NN Control Systems -- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses -- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation -- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples -- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems -- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation -- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV -- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model -- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems -- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design -- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems -- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays -- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor -- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks -- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation -- Identification and Control of PMSM Using Adaptive BP-PID Neural Network -- Adaptive NN Control for a Class of Chemical Reactor Systems -- Application-Oriented Adaptive Neural Networks Design for Ship’s Linear-tracking Control -- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays -- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method -- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing -- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot -- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System -- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems -- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks -- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems -- Integrated Intelligent Control Method of Coke Oven Collector Pressure -- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following -- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis -- Active Disturbance Rejection Control on Path Following for Underactuated Ships -- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces -- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces -- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System -- A Novel Ensemble Algorithm for Tumor Classification -- Reducing the Computation Time for BCI Using Improved ICA Algorithms -- An SSVEP-Based BCI with Adaptive Time-Window Length -- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells -- Seizure Detection in Clinical EEG Based on Entropies and EMD -- Evolutionary Neural Networks, Hybrid Intelligent Systems -- A New Hybrid Intelligent System for Fast Neural Network Training -- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula -- Resource Scheduling of Cloud with QoS Constraints -- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting -- Artificial Fish Swarm Optimization Algorithm Based on Mixed Crossover Strategy -- Data Mining and Knowledge Discovery -- Bias-Guided Random Walk for Network-Based Data Classification -- A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine -- Semi-Supervised Learning Using Random Walk Limiting Probabilities -- A Purity Measure Based Transductive Learning Algorithm -- Novel Class Detection within Classification for Data Streams -- Spatial Pyramid Formulation in Weakly Supervised Manner -- Ship Maneuvering Modeling Based on Fuzzy Rules Extraction and Optimization -- Learning to Create an Extensible Event Ontology Model from Social-Media Streams -- A Revised Inference for Correlated Topic Model -- Other Applications of Neural Networks -- Adaptive Fault Estimation of Coupling Connections for Synchronization of Complex Interconnected Networks -- Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network -- Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks -- Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application -- Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine -- Blind Single Channel Identification Based on Signal Intermittency and Second-Order Statistics -- Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network -- Flickr Group Recommendation Based on User-Generated Tags and Social Relations via Topic Model -- Measure Method of Fuzzy Inclusion Relation in Granular Computing -- Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally -- Utilizing Social and Behavioral Neighbors for Personalized Recommendation -- Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem -- Utility-Driven Share Scheduling Algorithm in Hadoop -- Research on Fault Diagnosis of Transmission Line Based on SIFT Feature -- Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic -- Gaussian Function Assisted Neural Networks Decoding Algorithm for Turbo Product Codes -- A New BP Neural Network Based Method for Load Harmonic Current Assessment -- Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine -- A Massive Sensor Sampling Data Gathering Optimization Strategy for Concurrent Multi-criteria Target Monitoring Application -- Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions -- Displacement Prediction Model of Landslide Based on Functional Networks -- Target Recognition Methods Based on Multi-neural Network Classifiers Fusion.
The two-volume set LNCS 7951 and 7952 constitutes the refereed proceedings of the 10th International Symposium on Neural Networks, ISNN 2013, held in Dalian, China, in July 2013. The 157 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in following topics: computational neuroscience, cognitive science, neural network models, learning algorithms, stability and convergence analysis, kernel methods, large margin methods and SVM, optimization algorithms, varational methods, control, robotics, bioinformatics and biomedical engineering, brain-like systems and brain-computer interfaces, data mining and knowledge discovery and other applications of neural networks.
Computers.
Artificial intelligence.
Pattern recognition.
Optical data processing.
Mathematical models.
Algorithms.
Computation by Abstract Devices.
Artificial Intelligence.
Pattern Recognition.
Image Processing and Computer Vision.
Mathematical Modeling and Industrial Mathematics.
Algorithm Analysis and Problem Complexity.