## Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected PapersThe ICANNGA series of conferences has been organized since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scienti?c community. Originally ICANNGA stood for “International Conference on Arti?cial Neural Networks and Genetic Algorithms,” but in 2005 the conference was renamed to “International C- ference on Adaptive and Natural Computing Algorithms,” while keeping the acronymICANNGA.The?rstICANNGAconferencewasheldinInnsbruckA- tria (1993), then Alī es in France (1995), Norwich in the UK (1997), Portoroz in Slovenia (1999),Prague in the Czech Republic (2001), Roanne in France (2003), CoimbrainPortugal(2005)andWarsawinPoland(2007).ContinuingthisEu- peantradition,the9thICANNGA washeldinKuopio,Finland(2009).Thevast majority of ICANNGA conferences is organized by and based at a university. Drawing on the experience of previous events and following the same g- eral model, ICANNGA 2009 combined plenary lectures and technical sessions. Apart from being a widely recognized conference, it enhanced the possibility to exchange opinions through lectures and discussions, provided a great oppor- nity to meet new colleagues, as well as to renew old friendships and to facilitate the possibilities for international collaborations. As previously, the conference proceedings are published in the Springer LNCS series. |

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### Contents

Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Represent... | 1 |

On Tractability of NeuralNetwork Approximation | 11 |

Handling Incomplete Data Using Evolution of Imputation Methods | 22 |

Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping | 32 |

Connection Strategies in Associative Memory Models with Spiking and Nonspiking Neurons | 42 |

Some Enhancements to Orthonormal Approximation of 2D Functions | 52 |

Shortest Common Superstring Problem with Discrete Neural Networks | 62 |

A Methodology for Developing Nonlinear Models by Feed forward Neural Networks | 72 |

Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators | 323 |

String Distances and Uniformities | 333 |

A Temporal Probabilistic Reasoning in the Absence of Domain Experts | 340 |

Improving Optimistic Exploration in ModelFree Reinforcement Learning | 360 |

Performance of Multiclass Problems with SVM Manifold Learning | 370 |

A CatLike Robot RealTime Learning to Run | 380 |

Controlling the Experimental ThreeTank System via Support Vector Machines | 391 |

FeatureBased Clustering for Electricity Use Time Series Data | 401 |

A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models | 79 |

Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multimodels | 89 |

Parallel Implementations of Recurrent Neural Network Learning | 99 |

Growing Competitive Network for Tracking Objects in Video Sequences | 109 |

Emission Analysis of a Fluidized Bed Boiler by Using SelfOrganizing Maps | 119 |

Network Security Using Growing Hierarchical SelfOrganizing Maps | 130 |

On Document Classification with SelfOrganising Maps | 140 |

A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices | 150 |

Tuning of LargeScale Linguistic Equation LE Models with Genetic Algorithms | 161 |

An Efficient Heuristic for Global Optimization | 171 |

Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps | 183 |

GridOriented Scatter Search Algorithm | 193 |

AgentBased Gene Expression Programming for Solving the RCPSPmax Problem | 203 |

Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with CrossValidation | 213 |

TimeDependent Performance Comparison of Evolutionary Algorithms | 223 |

Multiobjective Genetic Programming for Nonlinear System Identification | 233 |

NEAT in HyperNEAT Substituted with Genetic Programming | 243 |

Simulation Studies on a Genetic Algorithm Based Tomographic Reconstruction Using TimeofFlight Data from Ultrasound Transmission Tomography | 253 |

Estimation of Sensor Network Topology Using Ant Colony Optimization | 263 |

Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks | 273 |

A Hierarchical Classifier with Growing Neural Gas Clustering | 283 |

A Generative Model for SelfNonself Discrimination in Strings | 293 |

On the Efficiency of SwapBased Clustering | 303 |

SumofSquares Based Cluster Validity Index and Significance Analysis | 313 |

Plasticity on Pattern Recognition in the Cerebellar Cortex | 413 |

Noninvasive OnLine TwoPhase Flow Regime Identification | 423 |

Machine Tuning of Stable Analytical Fuzzy Predictive Controllers | 430 |

A Statistical Study | 440 |

Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models | 448 |

Dynamic Classifier Systems and Their Applications to Random Forest Ensembles | 458 |

A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs | 469 |

Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems | 479 |

Vector Machines | 489 |

Bayesian Dimension Reduction Models for Microarray Data | 498 |

Gene Selection for Cancer Classification through Ensemble of Methods | 507 |

An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques | 517 |

A Novel SignalBased Approach to Anomaly Detection in IDS Systems | 527 |

Extracting Discriminative Features Using Nonnegative Matrix Factorization in Financial Distress Data | 537 |

An Application to Rainfall Runoff Modeling | 548 |

Gene Trajectory Clustering for Learning the Stock Market Sectors | 559 |

Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms | 569 |

Approximation Scheduling Algorithms for Solving Multiobjects Movement Synchronization Problem | 577 |

Automatic Segmentation of Bone Tissue in XRay Hand Images | 590 |

Automatic Morphing of Face Images | 600 |

A Comparison Study of Strategies for Combining Classiﬁers from Distributed Data Sources | 609 |

Visualizing Time Series State Changes with Prototype Based Clustering | 619 |

629 | |

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### Common terms and phrases

accuracy analysis applied approach approximation Artiﬁcial Berlin Heidelberg 2009 binary calculated classiﬁer clustering algorithm coeﬃcients complexity computational conﬁdence cross-validation data mining data set deﬁned denote detection diﬀerent dimensionality distribution dynamic eﬀect eﬃcient EFSA error estimate evaluated evolutionary evolutionary algorithm feature extraction ﬁnal ﬁrst ﬁtness fuzzy genes genetic algorithm global Hadamard Hadamard matrices Heidelberg ICANNGA identiﬁcation IEEE implementation input iteration K-means Kolehmainen linear LNCS load curves Machine Learning Matching Pursuit matrix measure method Model Predictive Control neural networks neurons nodes non-negative matrix factorization nonlinear number of clusters obtained optimisation optimization output parameters performance population predictive control presented problem proposed prototype random randomly sampling segmentation selected self-organising maps self-organizing Self-Organizing Maps sensor sequence simulation solution Springer Springer-Verlag Berlin Heidelberg statistical step strategy structure Support Vector Machines swap Table techniques validation values variables weights