Advances in Neural Networks - ISNN 2014 (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
649
Utgivningsdatum
2014-10-17
Upplaga
2014 ed.
Förlag
Springer International Publishing AG
Medarbetare
King, Irwin (ed.), Li, Yangmin (ed.), Zeng, Zhigang (ed.)
Illustrationer
237 Illustrations, black and white; XVI, 649 p. 237 illus.
Dimensioner
234 x 156 x 34 mm
Vikt
922 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783319124353
Advances in Neural Networks - ISNN 2014 (häftad)

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

Häftad Engelska, 2014-10-17
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The 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 as follows. The focus is on following topics such as analysis, modeling, and applications.
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Innehållsförteckning

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