Adaptive and Natural Computing Algorithms: 9th International Conference, ICANNGA 2009, Kuopio, Finland, April 23-25, 2009, Revised Selected Papers

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Springer Science & Business Media, Oct 15, 2009 - Computers - 630 pages
The 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
Author Index
629
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