Advances in Neural Networks – ISNN 2014
Springer International Publishing (Verlag)
978-3-319-12435-3 (ISBN)
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 RoboticR
| Erscheint lt. Verlag | 3.11.2014 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XVI, 649 p. 237 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 1009 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Algorithm analysis and problem complexity • algorithms • Analysis • Computing Methodologies • embedded neural systems • Hybrid Intelligent Systems • Image Processing • machine learning • Neural Information Processing • Neural networks • Optimization |
| ISBN-10 | 3-319-12435-8 / 3319124358 |
| ISBN-13 | 978-3-319-12435-3 / 9783319124353 |
| Zustand | Neuware |
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