Advances in Neural Networks – ISNN 2014 11th International Symposium on Neural Networks, ISNN 2014, Hong Kong and Macao, China, November 28 -- December 1, 2014. Proceedings /
The LNCS volume LNCS 8866 constitutes the refereed proceedings of the 11th International Symposium on Neural Networks, ISNN 2014, held in Hong Kong and Macao, China on November/ December 2014. The 71 revised full papers presented were carefully reviewed and selected from 119 submissions. These pap...
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Other Authors: | , , |
Language: | English |
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Springer International Publishing : Imprint: Springer,
2014.
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Edition: | 1st ed. 2014. |
Series: | Theoretical Computer Science and General Issues ;
8866 |
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Online Access: | https://doi.org/10.1007/978-3-319-12436-0 |
Table of Contents:
- Analysis
- A Less Conservative Guaranteed Cost Stabilization of Time-varying Delayed CNNs
- Existence and Uniqueness of almost Automorphic Solutions to Cohen-Grossberg Neural Networks with Delays
- A Proof of a Key Formula in the Error-backpropagation Learning Algorithm for Multiple Spiking Neural Networks
- Anti-Synchronization Control for Memristor-Based Recurrent Neural Networks
- Adaptive Pinning Synchronization of Coupled Inertial Delayed Neural Networks
- The Relationship between Neural Avalanches and Neural Oscillations
- Reinforcement-Learning-Based Controller Design for Nonafine Nonlinear Systems
- Multistability and Multiperiodicity Analysis of Complex-valued Neural Networks
- Exponential Synchronization of Coupled Stochastic and Switched Neural Networks with Impulsive Effects
- The Research of Building Indoor Temperature Prediction Based on Support Vector Machine
- Towards the Computation of A Nash Equilibrium
- Sensorless PMSM Speed Control Based on NN Adaptive System Observer
- Neural-Network-Based Adaptive Fault Estimation for a Class of Interconnected Nonlinear System with Triangular Forms
- Big Data Matrix Singular Value Decomposition Based on Low-Rank Tensor Train Decomposition
- CSP-Based EEG Analysis on Dissociated Brain Organization for Single-Digit Addition and Multiplication
- Lazy Fully Probabilistic Design of Decision Strategies
- Memristive Radial Basis Function Neural Network for Parameters Adjustment of PID Controller
- Finite-Time Stability of Switched Static Neural Networks
- Fixed-priority Scheduling Policies and their Non-utilization Bounds
- Modeling Dynamic Hysteresis of Smart Actuators with Fuzzy Tree
- Neurodynamics-based Model Predictive Control for Trajectory Tracking of Autonomous Underwater Vehicles
- Feedback-Dependence of Correlated Firing in Globally Coupled Networks
- Wilcox on-Norm-Based Robust Extreme Learning Machine
- Modeling
- An Artificial Synaptic Plasticity Mechanism for Classical Conditioning with Neural Networks
- An Application of Dynamic Regression Model and Residual Auto-regressive Model in Time Series
- Reweighted l2-Regularized Dual Averaging Approach for Highly Sparse Stochastic Learning
- Perceptual Learning Model on Recognizing Chinese Characters
- Hierarchical Solving Method for Large Scale TSP Problems
- Gaussian Process Learning: A Divide-and-Conquer Approach
- A Kernel ELM Classifier for High-resolution Remotely Sensed Imagery Based on Multiple Features
- Early-Stopping Regularized Least-Squares Classification
- Z-Type Model for Real-Time Solution of Complex ZLE
- A Dynamic Generation Approach for Ensemble of Extreme Learning Machines
- Saliency Detection: A Divisive Normalization Approach
- A Novel Neural Network Based Adaptive Control for A Class of Uncertain Strict-Feedback Nonlinear Systems
- Rough Sets Theory Approach to Extenics Risk Assessment Model in Social Risk
- Kernel Parameter Optimization for KFDA Based on Maximum Margin Criterion
- A Polynomial Time Solvable Algorithm to Binary Quadratic Programming Problems with Q being a Seven-Diagonal Matrix and its Neural Network Implementation
- A New Nonlinear Neural Network for Solving QP Problems
- Untrained Method for Ensemble Pruning and Weighted Combination
- An Improved Learning Algorithm with Tunable Kernels for Complex-Valued Radial Basis Function Neural Networks
- Combined Methodology Based on Kernel Regression and Kernel Density Estimation for Sign Language Machine Translation
- Adaptive Intelligent Control for Continuous Stirred Tank Reactor with Output Constraint
- Applications
- Modeling and Application of Principal Component Analysis in Industrial Boiler
- An Orientation Column-inspired Contour Representation and its Application in Shape-based Recognition
- Region Based Image Preprocessor for Feed-Forward Perception Based Systems
- Image Denoising with Signal Dependent Noise using Block Matching and 3D Filtering
- Different-Level Simultaneous Minimization with Aid of Ma Equivalence for Robotic Redundancy Resolution
- Content-Adaptive Rain and Snow Removal Algorithms for Single Image
- Data-Driven Bridge Detection in Compressed Domain from Panchromatic Satellite Imagery
- Fast Nonnegative Tensor Factorization By Using Accelerated Proximal Gradient
- Multiclassifier System with Fuzzy Inference Method Applied to the Recognition of Biosignals in the Control of Bioprosthetic Hand
- Target Detection Using Radar in Heavy Sea Clutter by Polarimetric Analysis and Neural Network
- Human Action Recognition Based on Difference Silhouette and Static Reservoir
- Metric-Based Multi-Task Grouping Neural Network for Traffic Flow.-Forecasting
- Object Tracking with A Novel Method Based on FS-CBWH within Mean-Shift Framework
- Bayesian Covariance Tracking with Adaptive Feature Selection
- Single-Trial Detection of Error-Related Potential by One-Unit SOBI-R in SSVEP-based BCI
- Generalized Regression Neural Networks with K-Fold Cross-Validation for Displacement of Landslide Forecasting
- One-Class Classification Ensemble with Dynamic Classifier Selection
- A Massive Sensor Data Streams Multi-dimensional Analysis Strategy
- Using Progressive Logarithmic Tilted Time Frame for Cloud-Based Monitoring Application
- Evolutionary Clustering Detection of Similarity in Neuronal Spike Patterns
- Fast and Effective Image Segmentation via Superpixels and Adaptive Thresholding
- Diagonal Log-normal Generalized RBF Neural Network for Stock Price Prediction
- Design of a Greedy V2G Coordinator Achieving Microgrid-level Load Shift
- PolSAR Image Segmentation Based on the Modified Non-negative
- Matrix Factorization and Support Vector Machine
- Solving Path Planning of UAV Based on Modified Multi-Population Differential Evolution Algorithm
- Consensus for Higher-order Multi-agent Networks with External Disturbances
- The Research of Document Clustering Topical Concept Based on Neural Networks
- The Research of Reducing Misregistration Based on Image Mosaicing
- A Parallel Image Segmentation Method Based on SOM and GPU with Application to MRI Image Processing.