Advances in Neural Networks- ISNN 2013 [electronic resource] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I /
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
Includes bibliographical references and index.
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-objective Quantum-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.
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.