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Advances in Neural Networks- ISNN 2013: 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II 2013 ed. [Paperback / softback]

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  • Format: Paperback / softback, 653 pages, height x width: 235x155 mm, weight: 1027 g, 234 Illustrations, black and white; XXVI, 653 p. 234 illus., 1 Paperback / softback
  • Series: Theoretical Computer Science and General Issues 7952
  • Pub. Date: 15-Jul-2013
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642390676
  • ISBN-13: 9783642390678
  • Paperback / softback
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  • Format: Paperback / softback, 653 pages, height x width: 235x155 mm, weight: 1027 g, 234 Illustrations, black and white; XXVI, 653 p. 234 illus., 1 Paperback / softback
  • Series: Theoretical Computer Science and General Issues 7952
  • Pub. Date: 15-Jul-2013
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • ISBN-10: 3642390676
  • ISBN-13: 9783642390678
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.
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 Ships 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 SwarmOptimization 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 SchedulingAlgorithm 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.