Advances in Neural Networks - ISNN 2015

Advances in Neural Networks - ISNN 2015

12th International Symposium on Neural Networks, ISNN 2015, Jeju, South Korea, October 15-18, 2015, Proceedings

Hu, Xiaolin; Xia, Yousheng; Zhang, Yunong; Zhao, Dongbin

Springer International Publishing AG

09/2015

510

Mole

Inglês

9783319253923

15 a 20 dias

7898

Descrição não disponível.
Intelligent Control.- A Novel T-S Fuzzy Model Based Adaptive Synchronization Control Scheme for Nonlinear Large-Scale Systems with Uncertainties and Time-Delay.- Finite-Time Control for Markov Jump Systems with Partly Known Transition Probabilities and Time-Varying Polytopic Uncertainties.- Hybrid Function Projective Synchronization of Unknown Cohen-Grossberg Neural Networks with Time Delays and Noise Perturbation.- Neural Dynamic Surface Control for Three-Phase PWM Voltage Source Rectifier.- A Terminal-Sliding-Mode-Based Frequency Regulation.- A New Discrete-Time Iterative Adaptive Dynamic Programming Algorithm Based on Q-Learning.- Adaptive Neural Network Control for a Class of Stochastic Nonlinear Strict-Feedback Systems.- Event-Triggered H1 Control for Continuous-Time Nonlinear System.- Adaptive Control of a Class of Nonlinear Systems with Parameterized Unknown Dynamics.- H-infinity Control Synthesis for Linear Parabolic PDE Systems with Model-Free Policy Iteration.- ExponentialSynchronization of Complex Delayed Dynamical Networks with Uncertain Parameters via Intermittent Control.- Inverse-Free Scheme of G1 Type to Velocity-Level Inverse Kinematics of Redundant Robot Manipulators.- Design of Fuzzy-Neural-Network-Inherited Backstepping Control for Unmanned Underwater Vehicle.- Neurodynamics Analysis.- A New Sampled-Data State Estimator for Neural Networks of Neutral-Type with Time-Varying Delays.- Exponential Lag Synchronization for Delayed Cohen-Grossberg Neural Networks with Discontinuous Activations .- Mean Square Exponential Stability of Stochastic Delayed Static Neural Networks With Markovian Switching.- Robust Multistability and Multiperiodicity of Neural Networks with Time Delays.- A Novel Four-Dimensional Memristive Hyperchaotic System with Its Analog Circuit Implementation.- Memristor Crossbar Array for Image Storing.- Lagrange Stability for Memristor-Based Neural Networks with Time-Varying Delay via Matrix Measure.- Multistability of Memristive Neural Networks with Non-monotonic Piecewise Linear Activation Functions.- Global Exponential Anti-synchronization of Coupled Memristive Chaotic Neural Networks with Time-varying Delays.- Computer Vision.- Representative Video Action Discovery Using Interactive Non-negative Matrix Factorization.- Image Retrieval Based on Texture Direction Feature and Online Feature Selection.- Interlinked Convolutional Neural Networks for Face Parsing.- Image Tag Completion by Local Learning.- Haarlike Feature Revisited: Fast Human Detection Based on Multiple Channel Maps.- Wood Surface Quality Detection and Classification Using Gray Level and Texture Features.- Aerial Scene Classification with Convolutional Neural Networks.- Signal Processing.- A New Method for Image Quantization Based on Adaptive Region Related Heterogeneous PCNN.- Noisy Image Fusion Based on a Neural Network with Linearly Constrained Least Square Optimization.- A Singing Voice/Music Separation Method Based on Non-negative Tensor Factorization and Repeat Pattern Extraction.- Automatic Extraction of Cervical Vertebrae from Ultrasonography with Fuzzy ART Clustering.- Fast Basis Searching Method of Adaptive Fourier Decomposition Based on Nelder-Mead Algorithm for ECG Signals.- Frequency Recognition Based on Wavelet-Independent Component Analysis for SSVEP-Based BCIs.- Machine Learning.- An MCMC Based EM Algorithm for Mixtures of Gaussian Processes.- Automatic Model Selection of the Mixtures of Gaussian Processes for Regression.- An Effective Model Selection Criterion for Mixtures of Gaussian Processes.- Orthogonal Basis Extreme Learning Algorithm and Function Approximation.- Large Scale Text Clustering Method Study Based on MapReduce.- Representing Data by Sparse Combination of Contextual Data Points for Classification.- A Novel K-Means Evolving Spiking Neural Network Model for Clustering Problems.- Prediction of Individual Fish Trajectory from Its Neighbors' Movement by a Recurrent Neural Network.- Short-term Wind Speed Forecasting Using A Multi-model Ensemble.- Optimization.- Power Control Optimization Method for Transmitted Signals in OFDM Communication Systems.- A Neurodynamic Optimization Approach to Bilevel Linear Programming.- A Nonlinear Neural Network's Stability Analysis and Its kWTA Application.- Continuous-Time Multi-agent Network for Distributed Least Absolute Deviation.- A Fully Complex-Valued Neural Network for Rapid Solution of Complex-Valued Systems of Linear Equations.- Novel Approaches and Applications.- Sparse Representation via Intracellular and Extracellular Mechanisms.- Load Balancing Algorithm Based on Neural Network in Heterogeneous Wireless Networks.- Real-time Multi-Application Network Traffic Identification Based on Machine Learning.- A New Virus-Antivirus Spreading Model.- Exploring Feature Extraction and ELM in Malware Detection for Android Devices.- Data-Driven Optimization of SIRMs Connected Neural-Fuzzy System with Application to Cooling and Heating Loads Prediction.
Machine Learning;Optimization;Signal Processing;Computer Vision;Neurodynamics;Intelligent Control;adaptive dynamic programming;deep learning;image processing;algorithms;context learning;convolutional neural network;fuzzy system;linear programming;memristor;neural network;pattern recognition;recurrent neural network;algorithm analysis and problem complexity