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Advances in Neural Networks

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The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN... Weiterlesen
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The two volume set LNCS 5263/5264 constitutes the refereed proceedings of the 5th International Symposium on Neural Networks, ISNN 2008, held in Beijing, China in September 2008. The 192 revised papers presented were carefully reviewed and selected from a total of 522 submissions. The papers are organized in topical sections on computational neuroscience; cognitive science; mathematical modeling of neural systems; stability and nonlinear analysis; feedforward and fuzzy neural networks; probabilistic methods; supervised learning; unsupervised learning; support vector machine and kernel methods; hybrid optimisation algorithms; machine learning and data mining; intelligent control and robotics; pattern recognition; audio image processinc and computer vision; fault diagnosis; applications and implementations; applications of neural networks in electronic engineering; cellular neural networks and advanced control with neural networks; nature inspired methods of high-dimensional discrete data analysis; pattern recognition and information processing using neural networks.

Computational Neuroscience.- Single Trial Evoked Potentials Study during an Emotional Processing Based on Wavelet Transform.- Robust Speaker Modeling Based on Constrained Nonnegative Tensor Factorization.- A Hypothesis on How the Neocortex Extracts Information for Prediction in Sequence Learning.- MENN Method Applications for Stock Market Forecasting.- New Chaos Produced from Synchronization of Chaotic Neural Networks.- A Two Stage Energy Model Exhibiting Selectivity to Changing Disparity.- A Feature Extraction Method Based on Wavelet Transform and NMFs.- Cognitive Science.- Similarity Measures between Connection Numbers of Set Pair Analysis.- Temporal Properties of Illusory-Surface Perception Probed with Poggendorff Configuration.- Interval Self-Organizing Map for Nonlinear System Identification and Control.- A Dual-Mode Learning Mechanism Combining Knowledge-Education and Machine-Learning.- The Effect of Task Relevance on Electrophysiological Response to Emotional Stimuli.- A Detailed Study on the Modulation of Emotion Processing by Spatial Location.- Mathematical Modeling of Neural Systems.- MATLAB Simulation and Comparison of Zhang Neural Network and Gradient Neural Network for Time-Varying Lyapunov Equation Solving.- Improved Global Exponential Stability Criterion for BAM Neural Networks with Time-Varying Delays.- Global Exponential Stability and Periodicity of CNNs with Time-Varying Discrete and Distributed Delays.- Estimation of Value-at-Risk for Exchange Risk Via Kernel Based Nonlinear Ensembled Multi Scale Model.- Delay-Dependent Global Asymptotic Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.- Discrimination of Reconstructed Milk in Raw Milk by Combining Near Infrared Spectroscopy with Biomimetic Pattern Recognition.- Data Fusion Based on Neural Networks and Particle Swarm Algorithm and Its Application in Sugar Boiling.- Asymptotic Law of Likelihood Ratio for Multilayer Perceptron Models.- An On-Line Learning Radial Basis Function Network and Its Application.- A Hybrid Model of Partial Least Squares and RBF Neural Networks for System Identification.- Nonlinear Complex Neural Circuits Analysis and Design by q-Value Weighted Bounded Operator.- Fuzzy Hyperbolic Neural Network Model and Its Application in H ??? Filter Design.- On the Domain Attraction of Fuzzy Neural Networks.- CG-M-FOCUSS and Its Application to Distributed Compressed Sensing.- Dynamic of Cohen-Grossberg Neural Networks with Variable Coefficients and Time-Varying Delays.- Permutation Free Encoding Technique for Evolving Neural Networks.- Six-Element Linguistic Truth-Valued Intuitionistic Reasoning in Decision Making.- A Sequential Learning Algorithm for RBF Networks with Application to Ship Inverse Control.- Stability and Nonlinear Analysis.- Implementation of Neural Network Learning with Minimum L 1-Norm Criteria in Fractional Order Non-gaussian Impulsive Noise Environments.- Stability of Neural Networks with Parameters Disturbed by White Noises.- Neural Control of Uncertain Nonlinear Systems with Minimum Control Effort.- Three Global Exponential Convergence Results of the GPNN for Solving Generalized Linear Variational Inequalities.- Disturbance Attenuating Controller Design for a Class of Nonlinear Systems with Unknown Time-Delay.- Stability Criteria with Less Variables for Neural Networks with Time-Varying Delay.- Robust Stability of Uncertain Neural Networks with Time-Varying Delays.- Novel Coupled Map Lattice Model for Prediction of EEG Signal.- Adaptive Synchronization of Delayed Chaotic Systems.- Feedforward and Fuzzy Neural Networks.- Research on Fish Intelligence for Fish Trajectory Prediction Based on Neural Network.- A Hybrid MCDM Method for Route Selection of Multimodal Transportation Network.- Function Approximation by Neural Networks.- Robot Navigation Based on Fuzzy RL Algorithm.- Nuclear Reactor Reactivity Prediction Using Feed Forward Artificial Neural Networks.- Active Noise Control Using a Feedforward Network with Online Sequential Extreme Learning Machine.- Probabilistic Methods.- A Probabilistic Method to Estimate Life Expectancy of Application Software.- Particle Filter with Improved Proposal Distribution for Vehicle Tracking.- Cluster Selection Based on Coupling for Gaussian Mean Fields.- Multiresolution Image Fusion Algorithm Based on Block Modeling and Probabilistic Model.- An Evolutionary Approach for Vector Quantization Codebook Optimization.- Kernel-Based Text Classification on Statistical Manifold.- A Boost Voting Strategy for Knowledge Integration and Decision Making.- Supervised Learning.- A New Strategy for Pridicting Eukaryotic Promoter Based on Feature Boosting.- Searching for Interacting Features for Spam Filtering.- Structural Support Vector Machine.- The Turning Points on MLP's Error Surface.- Parallel Fuzzy Reasoning Models with Ensemble Learning.- Classification and Dimension Reduction in Bank Credit Scoring System.- Polynomial Nonlinear Integrals.- Testing Error Estimates for Regularization and Radial Function Networks.- Unsupervised Learning.- A Practical Clustering Algorithm.- Concise Coupled Neural Network Algorithm for Principal Component Analysis.- Spatial Clustering with Obstacles Constraints by Hybrid Particle Swarm Optimization with GA Mutation.- Analysis of the Kurtosis-Sum Objective Function for ICA.- BYY Harmony Learning on Weibull Mixture with Automated Model Selection.- A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.- A Comparative Study on Clustering Algorithms for Multispectral Remote Sensing Image Recognition.- A Gradient BYY Harmony Learning Algorithm for Straight Line Detection.- Support Vector Machine and Kernel Methods.- An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification.- Imbalanced SVM Learning with Margin Compensation.- Path Algorithms for One-Class SVM.- Simulations for American Option Pricing Under a Jump-Diffusion Model: Comparison Study between Kernel-Based and Regression-based Methods.- Global Convergence Analysis of Decomposition Methods for Support Vector Regression.- Rotating Fault Diagnosis Based on Wavelet Kernel Principal Component.- Inverse System Identification of Nonlinear Systems Using LSSVM Based on Clustering.- A New Approach to Division of Attribute Space for SVR Based Classification Rule Extraction.- Chattering-Free LS-SVM Sliding Mode Control.- Selection of Gaussian Kernel Parameter for SVM Based on Convex Estimation.- Multiple Sources Data Fusion Strategies Based on Multi-class Support Vector Machine.- A Generic Diffusion Kernel for Semi-supervised Learning.- Weighted Hyper-sphere SVM for Hypertext Classification.- Theoretical Analysis of a Rigid Coreset Minimum Enclosing Ball Algorithm for Kernel Regression Estimation.- Kernel Matrix Learning for One-Class Classification.- Structure Automatic Change in Neural Network.- Hybrid Optimisation Algorithms.- Particle Swarm Optimization for Two-Stage FLA Problem with Fuzzy Random Demands.- T-S Fuzzy Model Identification Based on Chaos Optimization.- ADHDP for the pH Value Control in the Clarifying Process of Sugar Cane Juice.- Dynamic PSO-Neural Network: A Case Study for Urban Microcosmic Mobile Emission.- An Improvement to Ant Colony Optimization Heuristic.- Extension of a Polynomial Time Mehrotra-Type Predictor-Corrector Safeguarded Algorithm to Monotone Linear Complementarity Problems.- QoS Route Discovery of Ad Hoc Networks Based on Intelligence Computing.- Memetic Algorithm-Based Image Watermarking Scheme.- A Genetic Algorithm Using a Mixed Crossover Strategy.- Condition Prediction of Hydroelectric Generating Unit Based on Immune Optimized RBFNN.- Synthesis of a Hybrid Five-Bar Mechanism with Particle Swarm Optimization Algorithm.- Robust Model Predictive Control Using a Discrete-Time Recurrent Neural Network.- A PSO-Based Method for Min-? Approximation of Closed Contour Curves.


Titel: Advances in Neural Networks
Untertitel: 5th International Symposium on Neural networks, ISNN 2008, Beijing, China, September 24-28, 2008, Proceedings, Part I
EAN: 9783540877318
ISBN: 978-3-540-87731-8
Format: Kartonierter Einband
Herausgeber: Springer, Berlin
Genre: Informatik
Anzahl Seiten: 908
Größe: H32mm x B238mm x T153mm
Jahr: 2008
Untertitel: Englisch
Auflage: 2008

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