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

• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
• Edizione: 1st ed. 2014.
• Descrizione fisica: 1 online resource (XVI, 649 p. 237 illus.)
• Disciplina: 006.32
• Soggetto topico: 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
• Persona (resp. second.): ZengZhigang; LiYangmin; KingIrwin
• Note generali: Includes index.
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Advances in Neural Networks – ISNN 2014
• ISBN: 3-319-12436-6
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910483660903321
• Lo trovi qui: Univ. Federico II
• Serie: Theoretical Computer Science and General Issues, . 2512-2029 ; ; 8866