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

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  • Sari: Lecture Notes in Computer Science 5495
  • Ilmumisaeg: 30-Sep-2009
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642049217
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  • Formaat: PDF+DRM
  • Sari: Lecture Notes in Computer Science 5495
  • Ilmumisaeg: 30-Sep-2009
  • Kirjastus: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Keel: eng
  • ISBN-13: 9783642049217

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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 Al' 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.
Neural Networks
Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation
1(10)
Adrian Horzyk
On Tractability of Neural-Network Approximation
11(11)
Paul C. Kainen
Vera Kurkova
Marcello Sanguineti
Handling Incomplete Data Using Evolution of Imputation Methods
22(10)
Pawel Zawistowski
Maciej Grzenda
Ideas about a Regularized MLP Classifier by Means of Weight Decay Stepping
32(10)
Paavo Nieminen
Tommi Karkkainen
Connection Strategies in Associative Memory Models with Spiking and Non-spiking Neurons
42(10)
Weiliang Chen
Reinoud Maex
Rod Adams
Volker Steuber
Lee Calcraft
Neil Davey
Some Enhancements to Orthonormal Approximation of 2D Functions
52(10)
Bartlomiej Beliczynski
Shortest Common Superstring Problem with Discrete Neural Networks
62(10)
D. Lopez-Rodriguez
E. Merida-Casermeiro
A Methodology for Developing Nonlinear Models by Feedforward Neural Networks
72(7)
Henrik Saxen
Frank Pettersson
A Predictive Control Economic Optimiser and Constraint Governor Based on Neural Models
79(10)
Maciej Lawrynczuk
Computationally Efficient Nonlinear Predictive Control Based on RBF Neural Multi-models
89(10)
Maciej Lawrynczuk
Parallel Implementations of Recurrent Neural Network Learning
99(10)
Uros Lotric
Andrej Dobnikar
Growing Competitive Network for Tracking Objects in Video Sequences
109(10)
J.M. Ortiz-de-Lazcano-Lobato
R.M. Luque
D. Lopez-Rodriguez
E.J. Palomo
Emission Analysis of a Fluidized Bed Boiler by Using Self-Organizing Maps
119(11)
Mika Liukkonen
Mikko Heikkinen
Eero Halikka
Reijo Kuivalainen
Yrjo Hiltunen
Network Security Using Growing Hierarchical Self-Organizing Maps
130(10)
E.J. Palomo
E. Dominguez
R.M. Luque
J. Munoz
On Document Classification with Self-Organising Maps
140(10)
Jyri Saarikoski
Kalervo Jarvelin
Jorma Laurikkala
Martti Juhola
Evolutionary Computation
A Heuristic Procedure with Guided Reproduction for Constructing Cocyclic Hadamard Matrices
150(11)
V. Alvarez
M.D. Frau
A. Osuna
Tuning of Large-Scale Linguistic Equation (LE) Models with Genetic Algorithms
161(10)
Esko K. Juuso
Elitistic Evolution: An Efficient Heuristic for Global Optimization
171(12)
Francisco Viveros Jimenez
Efren Mezura-Montes
Alexander Gelbukh
Solving the Multiple Sequence Alignment Problem Using Prototype Optimization with Evolved Improvement Steps
183(10)
Jiri Kubalik
Grid-Oriented Scatter Search Algorithm
193(10)
Antonio Gomez-Iglesias
Miguel A. Vega-Rodriguez
Miguel Cardenas-Montes
Enrique Morales-Ramos
Francisco Castejon-Magana
Agent-Based Gene Expression Programming for Solving the RCPSP/max Problem
203(10)
Piotr Jedrzejowicz
Ewa Ratajczak-Ropel
Feature Selection from Barkhausen Noise Data Using Genetic Algorithms with Cross-Validation
213(10)
Aki Sorsa
Kauko Leiviska
Time-Dependent Performance Comparison of Evolutionary Algorithms
223(10)
David Shilane
Jarno Martikainen
Seppo J. Ovaska
Multiobjective Genetic Programming for Nonlinear System Identification
233(10)
Lavinia Ferariu
Alina Patelli
Neat in HyperNeat Substituted with Genetic Programming
243(10)
Zdenek Buk
Jan Koutnik
Miroslav Snorek
Simulation Studies on a Genetic Algorithm, Based Tomographic Reconstruction Using Time-of-Flight Data from Ultrasound Transmission Tomography
253(10)
Shyam P. Kodali
Kalyanmoy Deb
Sunith Bandaru
Prabhat Munshi
N.N. Kishore
Estimation of Sensor Network Topology Using Ant Colony Optimization
263(10)
Kensuke Takahashi
Satoshi Kurihara
Toshio Hirotsu
Toshiharu Sugawara
Learning
Scalability of Learning Impact on Complex Parameters in Recurrent Neural Networks
273(10)
Branko Ster
Andrej Dobnikar
A Hierarchical Classifier with Growing Neural Gas Clustering
283(10)
Igor T. Podolak
Kamil Bartocha
A Generative Model for Self/Non-self Discrimination in Strings
293(10)
Matti Polla
On the Efficiency of Swap-Based Clustering
303(10)
Pasi Franti
Olli Virmajoki
Sum-of-Squares Based Cluster Validity Index and Significance Analysis
313(10)
Qinpei Zhao
Mantao Xu
Pasi Franti
Supporting Scalable Bayesian Networks Using Configurable Discretizer Actuators
323(10)
Isaac Olusegun Osunmakinde
Antoine Bagula
String Distances and Uniformities
333(7)
David W. Pearson
Jean-Christophe Janodet
Emergent Future Situation Awareness: A Temporal Probabilistic Reasoning in the Absence of Domain Experts
340(10)
Isaac Olusegun Osunmakinde
Antoine Bagula
Efficient Hold-Out for Subset of Regressors
350(10)
Tapio Pahikkala
Hanna Suominen
Jorma Boberg
Tapio Salakoski
Improving Optimistic Exploration in Model-Fre Reinforcement Learning
360(10)
Marek Grzes
Daniel Kudenko
Improving Visualization, Scalability and Performance of Multiclass Problems with SVM Manifold Learning
370(10)
Catarina Silva
Bernardete Ribeiro
A Cat-Like Robot Real-Time Learning to Run
380(11)
Pawet Wawrzynski
Controlling the Experimental Three-Tank System via Support Vector Machines
391(10)
Serdar Iplikci
Feature-Based Clustering For Electricity Use Time Series Data
401(12)
Teemu Rasanen
Mikko Kolehmainen
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
413(10)
Giseli de Sousa
Rod Adams
Neil Davey
Reinoud Maex
Volker Steuber
Soft Computing
Fuzzy Inference Systems for Efficient Non-invasive On-Line Two-Phase Flow Regime Identification
423(7)
Tatiana Tambouratzis
Imre Pazsit
Machine Tuning of Stable Analytical Fuzzy Predictive Controllers
430(10)
Piotr M. Marusak
Crisp Classifiers vs. Fuzzy Classifiers: A Statistical Study
440(8)
J.L. Jara
Rodrigo Acevedo-Crespo
Efficient Model Predictive Control Algorithm with Fuzzy Approximations of Nonlinear Models
448(10)
Piotr M. Marusak
Dynamic Classifier Systems and Their Applications to Random Forest Ensembles
458(11)
David Stefka
Martin Holena
A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs
469(10)
Marzena Bielecka
Marek Skomorowski
Bartosz Zielinski
Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems
479(10)
Maciej Hrebien
Jozef Korbicz
Bioinformatics
Multiple Order Gradient Feature for Macro-Invertebrate Identification Using Support Vector Machines
489(9)
Ville Tirronen
Andrea Caponio
Tomi Haanpaa
Kristian Meissner
Bayesian Dimension Reduction Models for Microarray Data
498(9)
Albert D. Shieh
Gene Selection for Cancer Classification through Ensemble of Methods
507(10)
Artur Wilinski
Stanislaw Osowski
Krzysztof Siwek
Applications
Rules versus Hierarchy: An Application of Fuzzy Set Theory to the Assessment of Spatial Grouping Techniques
517(10)
Martin Watts
A Novel Signal-Based Approach to Anomaly Detection in IDS Systems
527(10)
Lukasz Saganowski
Michal Choras
Rafat Renk
Witold Hotubowicz
Extracting Discriminative Features Using Non-negative Matrix Factorization in Financial Distress Data
537(11)
Bernardete Ribeiro
Catarina Silva
Armando Vieira
Joao Neves
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
548(11)
Ivo Couckuyt
Dirk Gorissen
Hamed Rouhani
Eric Laermans
Tom Dhaene
Gene Trajectory Clustering for Learning the Stock Market Sectors
559(10)
Darie Moldovan
Gheorghe Cosmin Silaghi
Accurate Prediction of Financial Distress of Companies with Machine Learning Algorithms
569(8)
Armando S. Vieira
Joao Duarte
Bernardete Ribeiro
Joao C. Neves
Approximation Scheduling Algorithms for Solving Multi-objects Movement Synchronization Problem
577(13)
Zbigniew Tarapata
Automatic Segmentation of Bone Tissue in X-Ray Hand Images
590(10)
Ayhan Yuksel
Tamer Olmez
Automatic Morphing of Face Images
600(9)
Vittorio Zanella
Geovany Ramirez
Hector Vargas
Lorna V. Rosas
A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
609(10)
Ireneusz Czarnowski
Piotr Jedrzejowicz
Visualizing Time Series State Changes with Prototype Based Clustering
619(10)
Markus Pylvanen
Sami Ayramo
Tommi Karkkainen
Author Index 629