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Artificial Intelligence and Soft Computing - ICAISC 2006

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This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing,... Weiterlesen
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This book constitutes the refereed proceedings of the 8th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2006, held in Zakopane, Poland, in June 2006. The 128 revised contributed papers presented are organized in topical sections on neural networks and their applications, fuzzy systems and their applications, evolutionary algorithms and their applications, rough sets, classification and clustering, image analysis and robotics, bioinformatics and medical applications, various problems of artificial intelligence.


Neural Networks and Their Applications.- Multichannel Data Aggregation by Layers of Formal Neurons.- Estimation of Distribution Algorithm for Optimization of Neural Networks for Intrusion Detection System.- Neural Network Implementation in Reprogrammable FPGA Devices - An Example for MLP.- A New Approach for Finding an Optimal Solution and Regularization by Learning Dynamic Momentum.- Domain Dynamics in Optimization Tasks.- Nonlinear Function Learning by the Normalized Radial Basis Function Networks.- Sum and Product Kernel Regularization Networks.- Chaotic Cellular Neural Networks with Negative Self-feedback.- An Efficient Nonlinear Predictive Control Algorithm with Neural Models and Its Application to a High-Purity Distillation Process.- Creativity of Neural Networks.- Speed Up of the SAMANN Neural Network Retraining.- Application of Neural Networks in Chain Curve Modelling.- RBF Nets in Faults Localization.- A Hypertube as a Possible Interpolation Region of a Neural Model.- RBF Neural Network for Probability Density Function Estimation and Detecting Changes in Multivariate Processes.- Fast Orthogonal Neural Networks.- AI Methods in Solving Systems of Interval Linear Equations.- A Fast and Numerically Robust Neural Network Training Algorithm.- Fuzzy Systems and Their Applications.- On Interpretation of Non-atomic Values and Induction of Decision Rules in Fuzzy Relational Databases.- A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.- Performance Evaluation of Fuzzy-Neural HTTP Request Distribution for Web Clusters.- Fuzzy Approach to Correlation Function.- A Method for Designing Flexible Neuro-fuzzy Systems.- Deterministic Annealing Integrated with ?-Insensitive Learning in Neuro-fuzzy Systems.- Transformation Lemma on Analytical Modeling Via Takagi-Sugeno Fuzzy System and Its Applications.- Combining Logical-Type Neuro-fuzzy Systems.- On Fuzzy Number Calculus and Some Application.- Combination of Fuzzy TOPSIS and Fuzzy Ranking for Multi Attribute Decision Making.- Flow Graphs and Decision Tables with Fuzzy Attributes.- Elements of the Type-2 Semantics in Summarizing Databases.- Isolines of Statistical Information Criteria for Relational Neuro-fuzzy System Design.- Adjusting Software-Intensive Systems Developed by Using Software Factories and Fuzzy Features.- Boosting Ensemble of Relational Neuro-fuzzy Systems.- An Application of Intuitionistic Fuzzy Set Similarity Measures to a Multi-criteria Decision Making Problem.- Evolutionary Algorithms and Their Applications.- Additive Sequential Evolutionary Design of Experiments.- A New Inter-island Genetic Operator for Optimization Problems with Block Properties.- Multiobjective Design Optimization of Electrostatic Rotary Microactuators Using Evolutionary Algorithms.- Evolutionary Learning of Mamdani-Type Neuro-fuzzy Systems.- Study of Objective Functions in Fuzzy Job-Shop Problem.- Scheduling with Memetic Algorithms over the Spaces of Semi-active and Active Schedules.- Chaos Detection with Lyapunov Exponents in Dynamical System Generated by Evolutionary Process.- Improving Evolutionary Multi-objective Optimization Using Genders.- Evolutionary Learning of Linear Trees with Embedded Feature Selection.- Solving the Balanced Academic Curriculum Problem with an Hybridization of Genetic Algorithm and Constraint Propagation.- A Graph-Based Genetic Algorithm for the Multiple Sequence Alignment Problem.- Improved Multi-Objective Diversity Control Oriented Genetic Algorithm.- Directional Distributions and Their Application to Evolutionary Algorithms.- Adaptive Inertia Weight Particle Swarm Optimization.- Estimation of the Evolution Speed for the Quasispecies Model: Arbitrary Alphabet Case.- Partitioning of VLSI Circuits on Subcircuits with Minimal Number of Connections Using Evolutionary Algorithm.- Genetic Approach to Modeling of a Dispatcher in Discrete Transport Systems.- Rough Sets.- Interactive Analysis of Preference-Ordered Data Using Dominance-Based Rough Set Approach.- Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations.- Induction of Decision Rules Using Minimum Set of Descriptors.- Comparison of Information Theoretical Measures for Reduct Finding.- Rough Approximation Operations Based on IF Sets.- Relationships Between Concept Lattice and Rough Set.- Classification and Clustering.- Extended SMART Algorithms for Non-negative Matrix Factorization.- MAICS: Multilevel Artificial Immune Classification System.- Selection of Prototype Rules: Context Searching Via Clustering.- Committee Machine for Road-Signs Classification.- Cluster Analysis Via Dynamic Self-organizing Neural Networks.- Learning Vector Quantization Classification with Local Relevance Determination for Medical Data.- Genetically Evolved Trees Representing Ensembles.- Sequential Classification Via Fuzzy Relations.- Attention Improves the Recognition Reliability of Backpropagation Network.- An Accurate MDS-Based Algorithm for the Visualization of Large Multidimensional Datasets.- The Multi-Agent System for Prediction of Financial Time Series.- Visualization of Single Clusters.- Dynamic Data Condensation for Classification.- Handwriting Recognition Accuracy Improvement by Author Identification.- Adaptive Potential Active Hypercontours.- KIDBSCAN: A New Efficient Data Clustering Algorithm.- Image Analysis and Robotics.- Localization and Extraction of the Optic Disc Using the Fuzzy Circular Hough Transform.- Object Recognition for Obstacle Avoidance in Mobile Robots.- Gait Synthesis and Modulation for Quadruped Robot Locomotion Using a Simple Feed-Forward Network.- A Two-Stage Fuzzy Filtering Method to Restore Images Contaminated by Mixed Impulse and Gaussian Noises.- Determination of the Optimal Seam-Lines in Image Mosaicking with the Dynamic Programming (DP) on the Converted Cost Space.- Symmetry-Based Salient Points Detection in Face Images.- Cellular Neural Networks and Dynamic Enhancement for Cephalometric Landmarks Detection.- Adaptive Critic Neural Networks for Identification of Wheeled Mobile Robot.- A New Chromatic Color Image Watermarking and Its PCA-Based Implementation.- Human Identification Based on Fingerprint Local Features.- Genetic Graph Programming for Object Detection.- Selective Motion Analysis Based on Dynamic Visual Saliency Map Model.- Efficient Ant Reinforcement Learning Using Replacing Eligibility Traces.- Face Recognition Using Correlation Between Illuminant Context.- An Efficient Face and Eye Detector Modeling in External Environment.- Keypoints Derivation for Object Class Detection with SIFT Algorithm.- Gray Image Contrast Enhancement by Optimal Fuzzy Transformation.- Non-negative Matrix Factorization with Quasi-Newton Optimization.- Bioinformatics and Medical Applications.- Active Mining Discriminative Gene Sets.- A Novel Approach to Image Reconstruction from Discrete Projections Using Hopfield-Type Neural Network.- Leukemia Prediction from Gene Expression Data-A Rough Set Approach.- Random Forest of Dipolar Trees for Survival Prediction.- Interpretation of Medical Images Based on Ontological Models.- Fuzzy Logic in Stuttering Therapy.- Using Most Similarity Tree Based Clustering to Select the Top Most Discriminating Genes for Cancer Detection.- Nonambiguous Concept Mapping in Medical Domain.- Feature Selection and Ranking of Key Genes for Tumor Classification: Using Microarray Gene Expression Data.- Cognitive Analysis in Diagnostic DSS-Type IT Systems.- Interpretability of Bayesian Decision Trees Induced from Trauma Data.- The Greatest and the Least Eigen Fuzzy Sets in Evaluation of the Drug Effectiveness Levels.- Cardiac Ventricle Contour Reconstruction in Ultrasonographic Images Using Bayesian Constrained Spectral Method.- A Model of a Diagnostic Rule in the Dempster-Shafer Theory.- DNA Fragment Assembly by Ant Colony and Nearest Neighbour Heuristics.- Various Problems of Artificial Intelligence.- Application of Bayesian Confirmation Measures for Mining Rules from Support-Confidence Pareto-Optimal Set.- Cognitive Analysis Techniques in Business Planning and Decision Support Systems.- PERT Based Approach to Performance Analysis of Multi-Agent Systems.- Rule-Based Automated Price Negotiation: Overview and Experiment.- A New Version of the Fuzzy-ID3 Algorithm.- New Interpolation Method with Fractal Curves.- Integrating Lookahead and Post Processing Procedures with ACO for Solving Set Partitioning and Covering Problems.- Learning Algorithms for Scheduling Using Knowledge Based Model.- Knowledge Representation of Pedestrian Dynamics in Crowd: Formalism of Cellular Automata.- Algorithm for Generating Fuzzy Rules for WWW Document Classification.- A Possibilistic-Logic-Based Information Retrieval Model with Various Term-Weighting Approaches.- Sketch of Autopoietic Essence of Computing and KnowledgeWorking.- Apply the Particle Swarm Optimization to the Multidimensional Knapsack Problem.- Self-stabilizing Algorithms for Graph Coloring with Improved Performance Guarantees.- A Novel Modeling Methodology: Generalized Nets.- A Hierarchical Particle Swarm Optimization for Solving Bilevel Programming Problems.- Methods of Artificial Intelligence in Blind People Education.- Neural Networks and the Estimation of Hands' Strength in Contract Bridge.- Mining Travel Resources on the Web Using L-Wrappers.- A New Evaluation Method for E-Learning Systems.- Parameter Estimation of Systems Described by the Relation by Maximum Likelihood Method.- A Distributed Learning Control System for Elevator Groups.


Titel: Artificial Intelligence and Soft Computing - ICAISC 2006
Untertitel: 8th International Conference, Zakopane, Poland, June 25-29, 2006, Proceedings
EAN: 9783540357506
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 1235
Veröffentlichung: 01.07.2006
Dateigrösse: 29.2 MB

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