Advances in Neural Networks- ISNN 2013 : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng.

Format:

Book

Contributor:

Guo, Chengan, editor.

Hou, Zeng-Guang, editor.

Tseng, Tommaso, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

LNCS sublibrary. Theoretical computer science and general issues ; SL 1, 7951.

Theoretical Computer Science and General Issues ; 7951

Language:

English

Subjects (All):

Computers.

Artificial intelligence.

Pattern perception.

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.

Local Subjects:

Computation by Abstract Devices.

Artificial Intelligence.

Pattern Recognition.

Image Processing and Computer Vision.

Mathematical Modeling and Industrial Mathematics.

Algorithm Analysis and Problem Complexity.

Physical Description:

1 online resource (XXVI, 687 pages) : 268 illustrations.

Edition:

First edition 2013.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.

System Details:

text file PDF

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.

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

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.

Other Format:

Printed edition:

ISBN:

978-3-642-39065-4

9783642390654

Access Restriction:

Restricted for use by site license.