Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers (Lecture Notes in Computer Science, 5495, Band 5495) - Softcover

Softcover

ISBN 10: 3642049206 ISBN 13: 9783642049200

Verlag: Springer Berlin Heidelberg, 2010

Inhaltsangabe

Neural Networks.- Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation.- On Tractability of Neural-Network Approximation.- Handling Incomplete Data Using Evolution of Imputation Methods.- Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping.- Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons.- Some Enhancements to Orthonormal Approximation of 2D Functions.- Shortest Common Superstring Problem with Discrete Neural Networks.- A Methodology for Developing Nonlinear Models by Feedforward Neural Networks.- A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models.- Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models.- Parallel Implementations of Recurrent Neural Network Learning.- Growing Competitive Network for Tracking Objects in Video Sequences.- Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps.- Network Security Using Growing Hierarchical Self-Organizing Maps.- On Document Classification with Self-Organising Maps.- Evolutionary Computation.- A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices.- Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms.- Elitistic Evolution: An Efficient Heuristic for Global Optimization.- Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps.- Grid-Oriented Scatter Search Algorithm.- Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem.- Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation.- Time-Dependent Performance Comparison of Evolutionary Algorithms.- Multiobjective Genetic Programming for Nonlinear System Identification.- NEAT in HyperNEAT Substituted with Genetic Programming.- Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography.- Estimation of Sensor Network Topology Using Ant Colony Optimization.- Learning.- Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks.- A Hierarchical Classifier with Growing Neural Gas Clustering.- A Generative Model for Self/Non-self Discrimination in Strings.- On the Efficiency of Swap-Based Clustering.- Sum-of-Squares Based Cluster Validity Index and Significance Analysis.- Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators.- String Distances and Uniformities.- Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts.- Efficient Hold-Out for Subset of Regressors.- Improving Optimistic Exploration in Model-Free Reinforcement Learning.- Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning.- A Cat-Like Robot Real-Time Learning to Run.- Controlling the Experimental Three-Tank System via Support Vector Machines.- Feature-Based Clustering for Electricity Use Time Series Data.- The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex.- Soft Computing.- Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification.- Machine Tuning of Stable Analytical Fuzzy Predictive Controllers.- Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study.- Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models.- Dynamic Classifier Systems and Their Applications to Random Forest Ensembles.- A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs.- Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems.- Bioinformatics.- Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines.- Bayesian Dimen

Details zur Ausgabe

• Verlag: Springer Berlin Heidelberg
• Erscheinungsdatum: 2010
• Sprache: Englisch
• ISBN 10: 3642049206
• ISBN 13: 9783642049200
• Einband: Taschenbuch
• Anzahl der Seiten: 648
• Herausgeber: Kolehmainen Mikko
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Tiergartenstr. 17; Heidelberg; 69121; Deutschland