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Smart Interiors 2005 Edition at Meripustak

Smart Interiors 2005 Edition by Jacobo Krauel, Links

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  • General Information  
    Author(s)Jacobo Krauel
    PublisherLinks
    ISBN9788496263253
    Pages168
    BindingSoftbound
    LanguageEnglish
    Publish YearAugust 2005

    Description

    Links Smart Interiors 2005 Edition by Jacobo Krauel

    Session 1: Theoretical Analysis.- The Initial Alignment of SINS Based on Neural Network.- Analysis on Basic Conceptions and Principles of Human Cognition.- Global Exponential Stability for Discrete-Time BAM Neural Network with Variable Delay.- The Study of Project Cost Estimation Based on Cost-Significant Theory and Neural Network Theory.- Global Exponential Stability of High-Order Hopfield Neural Networks with Time Delays.- Improved Particle Swarm Optimization for RCP Scheduling Problem.- Exponential Stability of Reaction-Diffusion Cohen-Grossberg Neural Networks with S-Type Distributed Delays.- Global Exponential Robust Stability of Static Reaction-Diffusion Neural Networks with S-Type Distributed Delays.- A LEC-and-AHP Based Hazard Assessment Method in Hydroelectric Project Construction.- A Stochastic Lotka-Volterra Model with Variable Delay.- Extreme Reformulated Radial Basis Function Neural Networks.- Research of Nonlinear Combination Forecasting Model for Insulators ESDD Based on Wavelet Neural Network.- Parameter Tuning of MLP Neural Network Using Genetic Algorithms.- Intelligent Grid of Computations.- Method of Solving Matrix Equation and Its Applications in Economic Management.- Efficient Feature Selection Algorithm Based on Difference and Similitude Matrix.- Exponential Stability of Neural Networks with Time-Varying Delays and Impulses.- Session 2: Machine Learning.- Adaptive Higher Order Neural Networks for Effective Data Mining.- Exploring Cost-Sensitive Learning in Domain Based Protein-Protein Interaction Prediction.- An Efficient and Fast Algorithm for Estimating the Frequencies of 2-D Superimposed Exponential Signals in Presence of Multiplicative and Additive Noise.- An Improved Greedy Based Global Optimized Placement Algorithm.- An Alternative Fast Learning Algorithm of Neural Network.- Computer Aided Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Bayesian Classifiers.- Margin-Based Transfer Learning.- Session 3: Support Vector Machines and Kernel Methods.- Nonlinear Dead Zone System Identification Based on Support Vector Machine.- A SVM Model Selection Method Based on Hybrid Genetic Algorithm and Empirical Error Minimization Criterion.- An SVM-Based Mandarin Pronunciation Quality Assessment System.- An Quality Prediction Method of Injection Molding Batch Processes Based on Sub-Stage LS-SVM.- Soft Sensing for Propylene Purity Using Partial Least Squares and Support Vector Machine.- Application of Support Vector Machines Method in Credit Scoring.- Session 4: Pattern Recognition.- Improving Short Text Clustering Performance with Keyword Expansion.- Nonnative Speech Recognition Based on Bilingual Model Modification at State Level.- Edge Detection Based on a PCNN-Anisotropic Diffusion Synergetic Approach.- Automatic Face Recognition Systems Design and Realization.- Multi-view Face Detection Using Six Segmented Rectangular Features.- Level Detection of Raisins Based on Image Analysis and Neural Network.- English Letters Recognition Based on Bayesian Regularization Neural Network.- Iris Disease Classifying Using Neuro-Fuzzy Medical Diagnosis Machine.- An Approach to Dynamic Gesture Recognition for Real-Time Interaction.- Dynamic Multiple Pronunciation Incorporation in a Refined Search Space for Reading Miscue Detection.- Depicting Diversity in Rules Extracted from Ensembles.- A New Statistical Model for Radar HRRP Target Recognition.- Independent Component Analysis of SPECT Images to Assist the Alzheimer's Disease Diagnosis.- The Multi-Class Imbalance Problem: Cost Functions with Modular and Non-Modular Neural Networks.- Geometry Algebra Neuron Based on Biomimetic Pattern Recognition.- A Novel Matrix-Pattern-Oriented Ho-Kashyap Classifier with Locally Spatial Smoothness.- An Integration Model Based on Non-classical Receptive Fields.- Classification of Imagery Movement Tasks for Brain-Computer Interfaces Using Regression Tree.- MIDBSCAN: An Efficient Density-Based Clustering Algorithm.- Detection and Following of a Face in Movement Using a Neural Network.- Session 5: Intelligent Modelling and Control.- Nonparametric Inter-Quartile Range for Error Evaluation and Correction of Demand Forecasting Model under Short Product Lifecycle.- Simulated Annealing and Crowd Dynamics Approaches for Intelligent Control.- Accomplishing Station Keeping Mode for Attitude Orbit Control Subsystem Designed for T-SAT.- Nonlinear System Identification Based on Recurrent Wavelet Neural Network.- Approximation to Nonlinear Discrete-Time Systems by Recurrent Neural Networks.- Model-Free Control of Nonlinear Noise Processes Based on C-FLAN.- An Empirical Study of the Artificial Neural Network for Currency Exchange Rate Time Series Prediction.- Grey Prediction with Markov-Chain for Crude Oil Production and Consumption in China.- Fabric Weave Identification Based on Cellular Neural Network.- Cutting Force Prediction of High-Speed Milling Hardened Steel Based on BP Neural Networks.- BP Neural Networks Based Soft Measurement of Rheological Properties of CWS.- A Parameters Self-adjusting ANN-PI Controller Based on Homotopy BP Algorithm.- Session 6: Optimization and Genetic Algorithms.- Study on Optimization of the Laser Texturing Surface Morphology Parameters Based on ANN.- A Combined Newton Method for Second-Order Cone Programming.- MES Scheduling Optimization and Simulation Based on CAPP/PPC Integration.- An Improved Diversity Guided Particle Swarm Optimization.- Research on Intelligent Diagnosis of Mechanical Fault Based on Ant Colony Algorithm.- A New Supermemory Gradient Method without Line Search for Unconstrained Optimization.- A Neural Network Approach for Solving Linear Bilevel Programming Problem.- Fuzzy Solution for Multiple Targets Optimization Based on Fuzzy Max-Min Neural Network.- Fixed-Structure Mixed Sensitivity/Model Reference Control Using Evolutionary Algorithms.- Session 7: Telecommunication and Transportation Systems.- ANN-Based Multi-scales Prediction of Self-similar Network Traffic.- Application of DM and Combined Grey Neural Network in E-Commerce Data Transmission.- Application of Prediction Model in Monitoring LAN Data Flow Based on Grey BP Neural Network.- Monitoring ARP Attack Using Responding Time and State ARP Cache.- A Study of Multi-agent Based Metropolitan Demand Responsive Transport Systems.- Sesson 8: Applications.- The Diagnosis Research of Electric Submersible Pump Based on Neural Network.- The Application of BP Feedforward Neural Networks to the Irradiation Effects of High Power Microwave.- A Novel Model for Customer Retention.- Neural Network Ensemble Approach in Analog Circuit Fault Diagnosis.- Research on Case Retrieval of Case-Based Reasoning of Motorcycle Intelligent Design.- Improving Voice Search Using Forward-Backward LVCSR System Combination.- Agent Oriented Programming for Setting Up the Platform for Processing EEG / ECG / EMG Waveforms.- A Forecasting Model of City Freight Volume Based on BPNN.- The Estimations of Mechanical Property of Rolled Steel Bar by Using Quantum Neural Network.- Diagnosis of Epilepsy Disorders Using Artificial Neural Networks.- Neural Forecasting Network for the Market of Pleione Formosana Hayata Orchid.- Harmonic Current Detection Based on Neural Network Adaptive Noise Cancellation Technology.- Study on Dynamic Relation between Share Price Index and Housing Price: Co-integration Analysis and Application in Share Price Index Prediction.- Application of RBF and Elman Neural Networks on Condition Prediction in CBM.- Judging the States of Blast Furnace by ART2 Neural Network.- Research on Dynamic Response of Riverbed Deformation Based on Theory of BP Neural Network.- Adaboosting Neural Networks for Credit Scoring.- An Enterprise Evaluation of Reverse Supply Chain Based on Ant Colony BP Neural Network.- Ultrasonic Crack Size Estimation Based on Wavelet Neural Networks.



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