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 / edited by Zhigang Zeng, Yangmin Li, Irwin King.

Format:

Book

Contributor:

Tseng, Tommaso, Editor.

Li, Yangmin, Editor.

King, Irwin., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 8866

Theoretical Computer Science and General Issues, 2512-2029 ; 8866

Language:

English

Subjects (All):

Pattern recognition systems.

Data mining.

Artificial intelligence.

Computer vision.

Algorithms.

Neural networks (Computer science).

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Vision.

Mathematical Models of Cognitive Processes and Neural Networks.

Local Subjects:

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Artificial Intelligence.

Computer Vision.

Algorithms.

Mathematical Models of Cognitive Processes and Neural Networks.

Physical Description:

1 online resource (XVI, 649 pages) : 237 illustrations

Edition:

1st ed. 2014.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

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 papers cover all major topics of the theoretical research, empirical study and applications of neural networks research, with particular focus on analysis, modeling, and applications.

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.

Other Format:

Printed edition:

ISBN:

978-3-319-12436-0

9783319124360

Access Restriction:

Restricted for use by site license.