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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
Title
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 / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng.
ISBN
9783642390685
Edition
1st ed. 2013.
Publication
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Physical Description
1 online resource (XXVI, 653 p.) 234 illus.
Local Notes
Access is available to the Yale community.
Access and use
Access restricted by licensing agreement.
Summary
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.
Variant and related titles
Springer ENIN.
Other formats
Printed edition:
Printed edition:
Format
Books / Online
Language
English
Added to Catalog
April 05, 2023
Series
Theoretical Computer Science and General Issues, 7952
Contents
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.
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