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.
Publish Date
2013
Publisher
Springer Berlin Heidelberg,
Imprint: Springer
Language
English
Pages
687
Subjects
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Advances in Neural Networks – ISNN 2013: 10th International Symposium on Neural Networks, Dalian, China, July 4-6, 2013, Proceedings, Part I
2013, Springer Berlin Heidelberg, Imprint: Springer
electronic resource :
in English
364239065X 9783642390654
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Book Details
Table of Contents
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
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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
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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
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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
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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
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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
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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
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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.
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