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Adaptive And Natural Computing Algorithms: 9th International Conference, Icannga 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers (lecture Notes In Computer Science)

معرفی کتاب «Adaptive And Natural Computing Algorithms: 9th International Conference, Icannga 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers (lecture Notes In Computer Science)» نوشتهٔ Adrian Horzyk (auth.), Mikko Kolehmainen, Pekka Toivanen, Bartlomiej Beliczynski (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg. این کتاب در 67 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است. «Adaptive And Natural Computing Algorithms: 9th International Conference, Icannga 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers (lecture Notes In Computer Science)» در دستهٔ بدون دسته‌بندی قرار دارد.

"This book constitutes the thoroughly refereed post-proceedings of the 9th International Conference on Adaptive and Natural Computing Algorithms, ICANNGA 2009, held in Kuopio, Finland, in April 2009." "The 63 revised full papers presented were carefully reviewed and selected from a total of 112 submissions. The papers are organized in topical sections on neutral networks, evolutionary computation, learning, soft computing, bioinformatics as well as applications."--Jacket Front Matter....Pages - Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation....Pages 1-10 On Tractability of Neural-Network Approximation....Pages 11-21 Handling Incomplete Data Using Evolution of Imputation Methods....Pages 22-31 Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping....Pages 32-41 Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons....Pages 42-51 Some Enhancements to Orthonormal Approximation of 2D Functions....Pages 52-61 Shortest Common Superstring Problem with Discrete Neural Networks....Pages 62-71 A Methodology for Developing Nonlinear Models by Feedforward Neural Networks....Pages 72-78 A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models....Pages 79-88 Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models....Pages 89-98 Parallel Implementations of Recurrent Neural Network Learning....Pages 99-108 Growing Competitive Network for Tracking Objects in Video Sequences....Pages 109-118 Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps....Pages 119-129 Network Security Using Growing Hierarchical Self-Organizing Maps....Pages 130-139 On Document Classification with Self-Organising Maps....Pages 140-149 A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices....Pages 150-160 Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms....Pages 161-170 Elitistic Evolution: An Efficient Heuristic for Global Optimization....Pages 171-182 Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps....Pages 183-192 Grid-Oriented Scatter Search Algorithm....Pages 193-202 Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem....Pages 203-212 Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation....Pages 213-222 Time-Dependent Performance Comparison of Evolutionary Algorithms....Pages 223-232 Multiobjective Genetic Programming for Nonlinear System Identification....Pages 233-242 NEAT in HyperNEAT Substituted with Genetic Programming....Pages 243-252 Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography....Pages 253-262 Estimation of Sensor Network Topology Using Ant Colony Optimization....Pages 263-272 Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks....Pages 273-282 A Hierarchical Classifier with Growing Neural Gas Clustering....Pages 283-292 A Generative Model for Self/Non-self Discrimination in Strings....Pages 293-302 On the Efficiency of Swap-Based Clustering....Pages 303-312 Sum-of-Squares Based Cluster Validity Index and Significance Analysis....Pages 313-322 Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators....Pages 323-332 String Distances and Uniformities....Pages 333-339 Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts....Pages 340-349 Efficient Hold-Out for Subset of Regressors....Pages 350-359 Improving Optimistic Exploration in Model-Free Reinforcement Learning....Pages 360-369 Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning....Pages 370-379 A Cat-Like Robot Real-Time Learning to Run....Pages 380-390 Controlling the Experimental Three-Tank System via Support Vector Machines....Pages 391-400 Feature-Based Clustering for Electricity Use Time Series Data....Pages 401-412 The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex....Pages 413-422 Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification....Pages 423-429 Machine Tuning of Stable Analytical Fuzzy Predictive Controllers....Pages 430-439 Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study....Pages 440-447 Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models....Pages 448-457 Dynamic Classifier Systems and Their Applications to Random Forest Ensembles....Pages 458-468 A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs....Pages 469-478 Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems....Pages 479-488 Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines....Pages 489-497 Bayesian Dimension Reduction Models for Microarray Data....Pages 498-506 Gene Selection for Cancer Classification through Ensemble of Methods....Pages 507-516 Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques....Pages 517-526 A Novel Signal-Based Approach to Anomaly Detection in IDS Systems....Pages 527-536 Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data....Pages 537-547 Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling....Pages 548-558 Gene Trajectory Clustering for Learning the Stock Market Sectors....Pages 559-568 Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms....Pages 569-576 Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem....Pages 577-589 Automatic Segmentation of Bone Tissue in X-Ray Hand Images....Pages 590-599 Automatic Morphing of Face Images....Pages 600-608 A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources....Pages 609-618 Visualizing Time Series State Changes with Prototype Based Clustering....Pages 619-628 Back Matter....Pages -
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