Description 
1 online resource 
Series 
Lecture Notes in Computer Science ; 5495 

Lecture notes in computer science ; 5495.

Contents 
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 NeuralNetwork 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 Nonspiking 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 Multimodels  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 SelfOrganizing Maps  Network Security Using Growing Hierarchical SelfOrganizing Maps  On Document Classification with SelfOrganising Maps  Evolutionary Computation  A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices  Tuning of LargeScale 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  GridOriented Scatter Search Algorithm  AgentBased Gene Expression Programming for Solving the RCPSP/max Problem  Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with CrossValidation  TimeDependent 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 TimeofFlight 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/Nonself Discrimination in Strings  On the Efficiency of SwapBased Clustering  SumofSquares 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 HoldOut for Subset of Regressors  Improving Optimistic Exploration in ModelFree Reinforcement Learning  Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning  A CatLike Robot RealTime Learning to Run  Controlling the Experimental ThreeTank System via Support Vector Machines  FeatureBased 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 Noninvasive OnLine TwoPhase 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 MacroInvertebrate Identification Using Support Vector Machines  Bayesian Dimension Reduction Models for Microarray Data  Gene Selection for Cancer Classification through Ensemble of Methods  Applications  Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques  A Novel SignalBased Approach to Anomaly Detection in IDS Systems  Extracting Discriminative Features Using Nonnegative Matrix Factorization in Financial Distress Data  Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling  Gene Trajectory Clustering for Learning the Stock Market Sectors  Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms  Approximation Scheduling Algorithms for Solving Multiobjects Movement Synchronization Problem  Automatic Segmentation of Bone Tissue in XRay Hand Images  Automatic Morphing of Face Images  A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources  Visualizing Time Series State Changes with Prototype Based Clustering 
Summary 
This book constitutes the thoroughly refereed postproceedings 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 
Notes 
International conference proceedings 

Includes index 
Bibliography 
Includes bibliographical references and index 
Notes 
Print version record 
Subject 
Computer algorithms  Congresses


Adaptive computing systems  Congresses


Neural networks (Computer science)  Congresses


Neural computers  Congresses


Machine learning  Congresses


Bioinformatics  Congresses


Neural networks (Computer science)


Expert systems (Computer science)


Artificial intelligence.


Algorithms


Neural Networks, Computer


Expert Systems


Artificial Intelligence


algorithms.


artificial intelligence.


Informatique.


Expert systems (Computer science)


Artificial intelligence


Adaptive computing systems


Bioinformatics


Computer algorithms


Machine learning


Neural computers


Neural networks (Computer science)


Bioinformatik


Evolutionärer Algorithmus


Maschinelles Lernen


Neuronales Netz


Soft Computing

Genre/Form 
proceedings (reports)


Conference papers and proceedings


Conference papers and proceedings.


Actes de congrès.

Form 
Electronic book

Author 
Kolehmainen, Mikko.


Toivanen, Pekka.


Beliczyński, Bartłomiej.

ISBN 
9783642049217 

3642049214 
