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Advances in Neural Networks - ISNN 2009

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This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposiu... Weiterlesen
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This book and its companion volumes, LNCS vols. 5551, 5552 and 5553, constitute the proceedings of the 6th International Symposium on Neural Networks (ISNN 2009), held during May 26-29, 2009 in Wuhan, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural n- works and related fields, with a successful sequence of ISNN symposia held in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), and Beijing (2008). Following the tradition of the ISNN series, ISNN 2009 provided a high-level inter- tional forum for scientists, engineers, and educators to present state-of-the-art research in neural networks and related fields, and also to discuss with international colleagues on the major opportunities and challenges for future neural network research. Over the past decades, the neural network community has witnessed tremendous - forts and developments in all aspects of neural network research, including theoretical foundations, architectures and network organizations, modeling and simulation, - pirical study, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, have provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large-scale, and n- worked brain-like intelligent systems. This long-term goal can only be achieved with the continuous efforts of the community to seriously investigate different issues of the neural networks and related fields.


Theoretical Analysis.- Optimal Inversion of Open Boundary Conditions Using BPNN Data-Driven Model Combined with Tidal Model.- Time-Varying Matrix Square Roots Solving via Zhang Neural Network and Gradient Neural Network: Modeling, Verification and Comparison.- Analysis of Time-Varying EEG Based on Wavelet Packet Entropy.- A New Practical Method on Hydrological Calculation.- Bernoulli Neural Network with Weights Directly Determined and with the Number of Hidden- Layer Neurons Automatically Determined.- Extension of Stochastic Dynamical System Involving Generalized Brownian Functionals.- Information Extraction System Based on Hidden Markov Model.- Network Intrusion Detection with Workflow Feature Definition Using BP Neural Network.- Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs.- Multi-start Stochastic Competitive Hopfield Neural Network for p-Median Problem.- An Information Theoretic Perspective of the Sparse Coding.- Information Dynamics and Intelligent Cooperation in Networked Societies.- Statistical Dependency of Image Wavelet Coefficients: Full Bayesian Model for Neural Networks.- The Bounds on the Rate of Uniform Convergence of Learning Process on Uncertainty Space.- Adaptive Growing Quantization for 1D CMAC Network.- Qualitative Analysis of General Discrete-Time Recurrent Neural Networks with Impulses.- Simulation Study of CPG Model: Exploring of a Certain Characteristics of Rhythm of Gait Movement on the Intelligent Creature.- Recognition of Altered Rock Based on Improved Particle Swarm Neural Network.- Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM.- A Stochastic Complex Dynamical Network and Its Synchronization.- Porosity Prediction Using Bagging of Complementary Neural Networks.- Research on the Evaluation Index System for Regional Integration: Analysis and Empirical Study.- A Type of Integrating Formula without Derivative.- L1-norm Regularization Based Nonlinear Integrals.- Function of EEG Temporal Complexity Analysis in Neural Activities Measurement.- A PDF-Matched Modification to Stone's Measure of Predictability for Blind Source Separation.- Feedforward Neural Network with Multi-valued Connection Weights.- A Method of Geometric Analysis of Condorcet Function.- Stability.- Exponential Asymptotic Stability of a Two-Unit Standby Redundant Electronic Equipment System under Human Failure.- Globally Exponentially Attractive Set and Synchronization of a Class of Chaotic Finance System.- Continuous and Discrete Halanay Delayed Inequalities and Their Applications in Stability of Neural Networks.- A Discrete-Time Recurrent Neural Network with One Neuron for k-Winners-Take-All Operation.- Stability of Stochastic Recurrent Neural Networks with Positive Linear Activation Functions.- Stability Conditions of Delayed Recurrent Neural Networks with Positive Linear Activation Functions.- The Dahlquist Constant Approach to Stability Analysis of the Static Neural Networks.- Global Exponential Stability of Reaction-Diffusion Delayed BAM Neural Networks with Dirichlet Boundary Conditions.- Global Robustly Asymptotically Stability of Cohen-Grossberg Neural Networks with Nonnegative Amplification Function.- Multistability of Neural Networks with a Class of Activation Functions.- Robust Stability of Control Systems with One Form of Uncertain Parameters.- Stability Analysis of a General Class of Continuous-Time Recurrent Neural Networks.- Time-Delay Neural Networks.- A New LMI-Based Stability Criteria for Delayed Cellular Neural Networks.- Multi-sensor Optimal H??? Fusion Filters for a Class of Nonlinear Intelligent Systems with Time Delays.- H??? Synchronization of General Discrete-Time Chaotic Neural Networks with Time Delays.- Stability of Hopfield Neural Networks with Time-Varying Delay.- Global Exponential Stability of FCNNs with Bounded Uncertain Delays.- Finite-Time Boundedness Analysis of a Class of Neutral Type Neural Networks with Time Delays.- Global Passivity of Stochastic Neural Networks with Time-Varying Delays.- Exponential Stability of High-Order Fuzzy Cellular Neural Networks with Time-Varying Delays.- Further Stability Analysis for Neural Networks with Time-Varying Interval Delay.- Dynamic Analysis of Delayed Fuzzy Cellular Neural Networks with Time-Varying Coefficients.- Delay-Dependent Exponential Stability of Discrete-Time BAM Neural Networks with Time Varying Delays.- Memory State Feedback Stabilization for Time-Varying Delayed Neural Networks Systems.- Global Stability of Neural Networks with Delays and Impulses.- LMI Based Global Asymptotic Stability Criterion for Recurrent Neural Networks with Infinite Distributed Delays.- Existence and Stability of Periodic Solutions for BAM Neural Networks with Time-Varying Delays and Impulses.- Impulsive Exponential Synchronization of Coupled Fuzzy Neural Networks with Time-Varying Delays.- A Delay Fractioning Approach to Global Synchronization of Complex Networks with Distributed Delays and Stochastic Disturbances.- Exponential Stability of Impulsive Hopfield Neural Networks with Time Delays.- Neutral Differential Systems with Impulse and Delay.- Finite Time Stability of Cohen-Grossberg Neural Network with Time-Varying Delays.- Evolution Differential Systems with Impulse and Delay.- Passivity Analysis of Neural Networks with Time-Varying Delays of Neutral Type.- Adaptive Exponential Synchronization of Stochastic Delay Neural Networks with Reaction-Diffusion.- Global and Local Synchronization of General Multi-linked Delayed Complex Dynamical Networks.- Global Exponential Stability of Impulsive Fuzzy Cellular Neural Networks with Delays and Reaction-Diffusion Terms.- Nonnegative Periodic Dynamics of Cohen-Grossberg Neural Networks with Discontinuous Activations and Discrete Time Delays.- Research on the Application of Neural Network in Diaphragm Icing Sensor Fault Diagnosis.- The Periodic Solution of a Class of Two Neurons Hopfield Network with Distributed Delay.- Machine Learning.- A Hybrid MPSO-BP-RBFN Model for Reservoir Lateral Prediction.- Semi-supervised Learning Based on Label Propagation through Submanifold.- BGNN Neural Network Based on Improved E.Coli Foraging Optimization Algorithm Used in the Nonlinear Modeling of Hydraulic Turbine.- A Hybrid Recurrent Neural Network for Machining Process Modeling.- Alternating Iterative Projection Algorithm of Multivariate Time Series Mixed Models.- Semi-supervised Learning with Multimodal Perturbation.- Weights Updated Voting for Ensemble of Neural Networks Based Incremental Learning.- Numerical Learning Method for Process Neural Network.- Specialized Affine Approximation for Nonlinear Systems Output Tracking Using Neural Networks.- Personalized SCORM Learning Experience Based on Rating Scale Model.- The Key Theorem of Learning Theory on Uncertainty Space.- A New Instance-Based Label Ranking Approach Using the Mallows Model.- Learning Performance of Tikhonov Regularization Algorithm with Strongly Mixing Samples.- Efficient Learning from Few Labeled Examples.- An Improved Quantum Evolutionary Algorithm with 2-Crossovers.- A Maximum Power Point Tracking Method Based on Extension Neural Network for PV Systems.- A Versatile Hyper-Ellipsoidal Basis Function for Function Approximation in High Dimensional Space.- Application of Item Response Theory to Collaborative Filtering.- Interactive Learning Neural Networks for Predicting Game Behavior.- Asymmetric Learning for Pedestrian Detection Based on Joint Local Orientation Histograms.- Using Strongly Connected Components as a Basis for Autonomous Skill Acquisition in Reinforcement Learning.- The Research of Negative Correlation Learning Based on Artificial Neural Network.- Algorithm of Neural Network Ensembles and Robust Learning.- The Heuristic Algorithm Based on Learning-Competing Model and Its Application to Task Assignment Problem.- Comparisons of Machine Learning Methods for Electricity Regional Reference Price Forecasting.- Neural Modeling.- Prediction of Chaotic Time Series Based on Neural Network with Legendre Polynomials.- Estimation for Speed and Leakage Power of Dual Threshold Domino OR Based on Wavelet Neural Networks.- Using Wavelet Based Neural Networks for Feedback Signals Estimation of a Vector Controlled Induction Motor Drive.- Study on Method of Identifying Dissolved Gases in Transformer Oil Based on Improved Artificial Neural Network Algorithm.- Using Chaotic Neural Network to Forecast Stock Index.- A Fast Algorithm for 2-D ARMA Parameters Estimation.- Grey Neural Network Based Predictive Model for Multi-core Architecture 2D Spatial Characteristics.- Neural Network Algorithm for Installation Error Identification Based on Bearing-only Target Motion Analyses.- Nonlinear Time Series Prediction by Using RBF Network.- Traveling Wave Solutions in a One-Dimension Theta-Neuron Model.- Seismic Responses Prediction of Nonlinear Building Structures Based on Multi-Branch BP Neural Network.- Coupling Analysis of Manufacturing Characteristics and Mechanics Property of Microminiature Gear Mechanism Based on Neural Network.- Gas Concentration Forecasting Based on Support Vector Regression in Correlation Space via KPCA.- A CMMS-Based Formal Conceptual Modeling Approach for Team Simulation and Training.- SOSBP: An Efficient Bargaining Protocol for E-Market.- Implicit Camera Calibration Based on a Nonlinear Modeling Function of an Artificial Neural Network.- Credit Risk Assessment Model of Commercial Banks Based on Fuzzy Neural Network.- Multi-information Fusion and Identification System for Laser Welding.- Integrating Generalized Linear Auto-Regression and Artificial Neural Networks for Coal Demand Forecasting.- On Momentum and Learning Rate of the Generalized ADLINE Neural Network for Time Varying System Identification.- Inference of Differential Equations for Modeling Chemical Reactions.- Decision Making Systems.- Supply Chain Management with Revenue-Sharing Contract in a JIT Setting.- Hyper-Chaotic Mathematical Programming Method and Its Application to Dodecahedron Variable Geometry Truss Manipulator.- An Adaptive MO-HGA for Resource-Constrained Transport Task Scheduling.- Evolutional Aspects of the Construction of Adaptive Knowledge Base.- Evacuation Route Planning Algorithm: Longer Route Preferential.- Using Neural Networks for the Foreign Investment Management Decision Support System.- Allocation Method of Total Permitted Pollution Discharge Capacity Based on Uniform Price Auction.- Fuzzy Group Decision Making Method and Its Application.- Research on Multi-time Period Production Plan of Supply Chain under Demands Uncertainty.- Research on Coordination Model of Multiplexed System Based on DEA.- Co-integration Analysis of Multiplexed System Based on VAR.- Research on Stability Region for a Type of Production Inventory Control System.- Analyses and Improvement of Case-Based Decision Model of Product Conceptual Design.- Information Integration Approach to Vendor Selection Group Decision Making under Multiple Criteria.- Models Choice of Grid-Based Decision Support System.- Implementing Power System Management via Semantic Web Services Composition.- Optimal Auction Model Analysis and Mechanism Design of Indivisible Goods.- GUPTDSS: Grid Based Urban Public Transport Decision Support System.- Decision Making Based on Emergency Plan Templates.- Computational Intelligence Techniques for a Smart Electric Grid of the Future.- Impact of Non-schedulability on Embedded System Performance.


Titel: Advances in Neural Networks - ISNN 2009
Untertitel: 6th International Symposium on Neural Networks, ISNN 2009 Wuhan, China, May 26-29, 2009 Proceedings, Part I
EAN: 9783642015076
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer-Verlag GmbH
Genre: IT & Internet
Anzahl Seiten: 1221
Veröffentlichung: 20.05.2009
Dateigrösse: 48.5 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"