Advances in Neural Networks- ISNN 2013

Computational Neuroscience and Cognitive Science.- Information Transfer Characteristic in Memristic Neuromorphic Network.- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model.- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem.- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell.- Efficiency Improvements for Fuzzy Associative Memory.- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA.- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses.- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks.- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure.- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes.- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis.- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method.- Generalized Single-Hidden Layer Feedforward Networks.- An Approach for Designing Neural Cryptography.- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays.- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay.- Generalized Function Projective Lag Synchronization between Two Different Neural Networks.- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model.- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays.- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks.- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms.- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression.- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks.- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales.- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays.- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities.- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks.- H Filtering of Markovian Jumping Neural Networks with Time Delays.- Convergence Analysis for Feng's MCA Neural Network Learning Algorithm.- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses.- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks.- The Binary Output Units of Neural Network.- Kernel Methods, Large Margin Methods and SVM.- Support Vector Machine with Customized Kernel.- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure.- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study.- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples.- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection.- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines.- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network.- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction.- Optimization Algorithms / Variational Methods.- Optimal Calculation of Tensor Learning Approaches.- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding.- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on Multi-objectiveQuantum-Inspired Cultural Algorithm.- Artificial Bee Colony Algorithm for Modular Neural Network.- An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems.- Optimized Neural Network Ensemble by Combination of Particle Swarm Optimization and Differential Evolution.- Feature Analysis, Clustering, Pattern Recognition and Classification.- SOR Based Fuzzy K-Means Clustering Algorithm for Classification of Remotely Sensed Images.- UMPCA Based Feature Extraction for ECG.- Genetic Algorithm Based Neural Network for License Plate Recognition.- Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation.- Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network.- Local Feature Coding for Action Recognition Using RGB-D Camera.- Circular Projection for Pattern Recognition.- A Tensor Factorization Based Least Squares Support Tensor Machine for Classification.- A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble.- Model Identification of an Unmanned Helicopter Using ELSSVM.- A Feature Point Clustering Algorithm Based on GG-RNN.- Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix.- A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers.- Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures.- Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor.- An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network.- Chinese Text Classification Based on Neural Network.- The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects.- A Fast Algorithm for Clustering with MapReduce.- Gaussian Message Propagation in d-order Neighborhood for Gaussian Graphical Model.- Fast Image Classification Algorithms Based on Random Weights Networks.- A Convolutional Neural Network for Pedestrian Gender Recognition.- The Novel Seeding-Based Semi-supervised Fuzzy Clustering Algorithm Inspired by Diffusion Processes.- Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning.- Loose Particle Classification Using a New Wavelet Fisher Discriminant Method.- L1 Graph Based on Sparse Coding for Feature Selection.- Vision Modeling and Image Processing.- An Image Segmentation Method for Maize Disease Based on IGA-PCNN.- A Vector Quantization Approach for Image Segmentation Based on SOM Neural Network.- A Fast Approximate Sparse Coding Networks and Application to Image Denoising.- Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination.- Recognition Approach of Human Motion with Micro-accelerometer Based on PCA-BP Neural Network Algorithm.- A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold.- Invariant Object Recognition Using Radon and Fourier Transforms.- An Effective Method for Signal Extraction from Residual Image, with Application to Denoising Algorithms.- Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy.- Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar.