Communications in Computer and Information Science 43 Dominic Palmer-Brown Chrisina Draganova Elias Pimenidis Haris Mouratidis (Eds.) Engineering Applications of Neural Networks 11th International Conference, EANN 2009 London, UK,August 27-29, 2009 Proceedings 1 3 VolumeEditors DominicPalmer-Brown LondonMetropolitanUniversity FacultyofComputing London,UK E-mail:[email protected] ChrisinaDraganova UniversityofEastLondon SchoolofComputing,ITandEngineering London,UK E-mail:[email protected] EliasPimenidis UniversityofEastLondon SchoolofComputing,ITandEngineering London,UK E-mail:[email protected] HarisMouratidis UniversityofEastLondon SchoolofComputing,ITandEngineering London,UK E-mail:[email protected] LibraryofCongressControlNumber:2009933042 CRSubjectClassification(1998):F.1,I.2,H.5,I.7,I.5,I.2.7,I.4.8 ISSN 1865-0929 ISBN-10 3-642-03968-5SpringerBerlinHeidelbergNewYork ISBN-13 978-3-642-03968-3SpringerBerlinHeidelbergNewYork Thisworkissubjecttocopyright.Allrightsarereserved,whetherthewholeorpartofthematerialis concerned,specificallytherightsoftranslation,reprinting,re-useofillustrations,recitation,broadcasting, reproductiononmicrofilmsorinanyotherway,andstorageindatabanks.Duplicationofthispublication orpartsthereofispermittedonlyundertheprovisionsoftheGermanCopyrightLawofSeptember9,1965, initscurrentversion,andpermissionforusemustalwaysbeobtainedfromSpringer.Violationsareliable toprosecutionundertheGermanCopyrightLaw. springer.com ©Springer-VerlagBerlinHeidelberg2009 PrintedinGermany Typesetting:Camera-readybyauthor,dataconversionbyScientificPublishingServices,Chennai,India Printedonacid-freepaper SPIN:12744978 06/3180 543210 Preface A cursory glance at the table of contents of EANN 2009 reveals the amaz- ing range of neural network and related applications. A random but revealing sample includes: reducing urban concentration, entropy topography in epilep- tic electroencephalography, phytoplanktonic species recognition, revealing the structureofchildhoodabdominalpaindata,robotcontrol,discriminatingangry and happy facial expressions, flood forecasting, and assessing credit worthiness. The diverse nature of applications demonstrates the vitality of neural comput- ing and related soft computing approaches, and their relevance to many key contemporary technological challenges. It also illustrates the value of EANN in bringing together a broad spectrum of delegates from across the world to learn from each other’s related methods. Variations and extensions of many methods are well represented in the proceedings, ranging from support vector machines, fuzzy reasoning,and Bayesianmethods to snap-drift and spiking neurons. This year EANN accepted approximately 40% of submitted papers for full- length presentation at the conference. All members of the Program Committee were askedto participate in the reviewingprocess.The standardof submissions was high, according to the reviewers, who did an excellent job. The Program and Organizing Committees thank them. Approximately 20% of submitted pa- pers will be chosen, the best according to the reviews, to be extended and re- viewedagainforinclusioninaspecialissueofthejournalNeuralComputingand Applications. We hope that these proceedings will help to stimulate further research and development of new applications and modes of neural computing. August 2009 Dominic Palmer-Brown Organization EANN 2009 was organized by the School of Computing, IT and Engineering, University of East London in cooperation with the Faculty of Computing, Lon- don Metropolitan University. Organizing Committee Chair: Dominic Palmer-Brownn London Metropolitan University, UK Chrisina Draganova University of East London, UK Elias Pimenidis University of East London, UK Haris Mouratidis University of East London, UK Sin Wee Lee University of East London, UK Manolis Christodoulakis University of East London, UK Miao Kang University of East London, UK Frank Ekpenyong University of East London, UK Terry Walcott University of East London, UK Administrative Support: Linda Day University of East London, UK Administrative Support: Farhanaz Begum University of East London, UK Administrative Support: Carole Cole University of East London, UK Program Committee Chair: Dominic Palmer-Brownn London Metropolitan University, UK Graham Ball Nottingham Trent University, UK Chris Christodoulou University of Cyprus, Cyprus Manolis Christodoulakis University of East London, UK Chrisina Draganova University of East London, UK Frank Ekpenyong University of East London, UK Alexander Gegov University of Portsmouth, UK Lazaros Iliadis Democritus University of Thrace, Greece Miao Kang University of East London, UK Sin Wee Lee University of East London, UK James Allen Long London South Bank University, UK Liam McDaid University of Ulster, UK Haralambos Mouratidis University of East London, UK Elias Pimenidis University of East London, UK VIII Organization Kathleen Steinhofel King’s College, UK Ioannis Vlahavas Aristotle University of Thessaloniki, Greece Carlo Francesco Morabito University Mediterranea of Reggio C. - Italy, and SIREN (Italian Society of Neural Networks) Christos N. Schizas University of Cyprus, Cyprus Terry Walcott University of East London, UK Abdullah Al-Zakwani Muscat, Sultanate of Oman Diego G. Loyola R. Remote Sensing Technology Institute, Germany Antony Browne University of Surrey, UK Kaizhu Huang University of Bristol, UK Richard Dybowski University of East London, UK Aloysius Edoh University of East London, UK Marco Ramoni Harvard University, USA Stephen Rees Aalborg University, Denmark Bernadette Sharp Staffordshire University, UK Peter Weller City University, UK Stefan Wermter Sunderland University, UK Hassan Kazemian London Metropolitan University, UK J. Fernandez de Canete University of Malaga, Spain Karim Ouazzane London Metropolitan University, UK Kenneth Revett University of Westminster, UK Sponsoring Institutions University of East London, UK London Metropolitan University, UK International Neural Network Society INNS, USA Table of Contents Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement......................... 1 Lazaros S. Iliadis and A. Papaleonidas Neural Network Based Damage Detection of Dynamically Loaded Structures ...................................................... 17 David Lehk´y and Drahom´ır Nova´k Reconstruction of Cross-Sectional Missing Data Using Neural Networks ....................................................... 28 Iffat A. Gheyas and Leslie S. Smith Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning....................... 35 Petr Hajek and Vladimir Olej Clustering of Pressure Fluctuation Data Using Self-Organizing Map .... 45 Masaaki Ogihara, Hideyuki Matsumoto, Tamaki Marumo, and Chiaki Kuroda Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros........................................................... 55 Lazaros S. Iliadis and Stephanos Spartalis Fuzzy Logic and Artificial Neural Networks for Advanced Authentication Using Soft Biometric Data .......................... 67 Mario Malcangi Study of Alpha Peak Fitting by Techniques Based on Neural Networks ....................................................... 79 Javier Miranda, Rosa P´erez, Antonio Baeza, and Javier Guill´en Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning .... 86 Ryotaro Kamimura Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study ................................... 98 Mohamed Samir Toukourou, Anne Johannet, and G´erard Dreyfus An Improved Algorithm for SVMs Classification of Imbalanced Data Sets ............................................................ 108 Cristiano Leite Castro, Mateus Araujo Carvalho, and Antˆonio Padua Braga X Table of Contents Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps............................... 119 Ignacio D´ıaz, Abel A. Cuadrado, Alberto B. Diez, Juan J. Fuertes, Manuel Dom´ınguez, and Miguel A. Prada Data Visualisation and Exploration with Prior Knowledge ............ 131 Martin Schroeder, Dan Cornford, and Ian T. Nabney Reducing Urban Concentration Using a Neural Network Model ........ 143 Leandro Tortosa, Jos´e F. Vicent, Antonio Zamora, and Jos´e L. Oliver Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition ..................................................... 153 E´milie Caillault, Pierre-Alexandre H´ebert, and Guillaume Wacquet Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making............................. 165 Adam Adamopoulos, Mirto Ntasi, Seferina Mavroudi, Spiros Likothanassis, Lazaros Iliadis, and George Anastassopoulos Relating Halftone Dot Quality to Paper Surface Topography .......... 178 Pekka Kumpulainen, Marja Metta¨nen, Mikko Lauri, and Heimo Ihalainen Combining GRN Modeling and Demonstration-BasedProgrammingfor Robot Control................................................... 190 Wei-Po Lee and Tsung-Hsien Yang Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models .............................. 200 Aruna Shenoy, Sue Anthony, Ray Frank, and Neil Davey Modeling and Forecasting CAT and HDD Indices for Weather Derivative Pricing................................................ 210 Achilleas Zapranis and Antonis Alexandridis Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics ................. 223 David Gray, David Bowes, Neil Davey, Yi Sun, and Bruce Christianson AdaptiveElectricalSignalPost-processingwithVaryingRepresentations in Optical Communication Systems ................................ 235 Stephen Hunt, Yi Sun, Alex Shafarenko, Rod Adams, Neil Davey, Brendan Slater, Ranjeet Bhamber, Sonia Boscolo, and Sergei K. Turitsyn Table of Contents XI Using of Artificial Neural Networks (ANN) for Aircraft Motion Parameters Identification ......................................... 246 Anatolij Bondarets and Olga Kreerenko Ellipse Support Vector Data Description ............................ 257 Mohammad GhasemiGol, Reza Monsefi, and Hadi Sadoghi Yazdi Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms.......................................... 269 Elisabet Parras-Gutierrez, Maribel Isabel Garcia-Arenas, and Victor M. Rivas-Santos New Aspects of the Elastic Net Algorithm for Cluster Analysis ........ 281 Marcos L´evano and Hans Nowak Neural Networks for Forecasting in a Multi-skill Call Centre........... 291 Jorge Pacheco, David Milla´n-Ruiz, and Jos´e Luis V´elez Relational Reinforcement Learning Applied to Appearance-Based Object Recognition............................................... 301 Klaus Ha¨ming and Gabriele Peters Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece ........... 313 Theocharis Tsataltzinos, Lazaros Iliadis, and Spartalis Stefanos Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications .................................. 325 Chun-Cheng Peng and George D. Magoulas Indirect Adaptive Control Using Hopfield-Based Dynamic Neural Network for SISO Nonlinear Systems ............................... 336 Ping-Cheng Chen, Chi-Hsu Wang, and Tsu-Tian Lee A Neural Network Computational Model of Visual Selective Attention ....................................................... 350 Kleanthis C. Neokleous, Marios N. Avraamides, Costas K. Neocleous, and Christos N. Schizas Simulation of Large Spiking Neural Networks on Distributed Architectures, The “DAMNED” Simulator .......................... 359 Anthony Mouraud and Didier Puzenat A Neural Network Model for the Critical Frequency of the F2 Ionospheric Layer over Cyprus..................................... 371 Haris Haralambous and Harris Papadopoulos XII Table of Contents Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis.......................................... 378 Vincent Vigneron, Hsin Chen, Yen-Tai Chen, Hsin-Yi Lai, and You-Yin Chen Pareto-BasedMulti-output Metamodeling with Active Learning........ 389 Dirk Gorissen, Ivo Couckuyt, Eric Laermans, and Tom Dhaene Isolating Stock Prices Variation with Neural Networks................ 401 Chrisina Draganova, Andreas Lanitis, and Chris Christodoulou Evolutionary Ranking on Multiple Word Correction Algorithms Using Neural Network Approach......................................... 409 Jun Li, Karim Ouazzane, Yanguo Jing, Hassan Kazemian, and Richard Boyd Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1 ........................................................ 419 Guillaume F. Remy and Hassan B. Kazemian Tracking of the Plasma States in a Nuclear Fusion Device Using SOMs .......................................................... 430 Massimo Camplani, Barbara Cannas, Alessandra Fanni, Gabriella Pautasso, Giuliana Sias, Piergiorgio Sonato, and The Asdex-Upgrade Team An Application of the Occam Factor to Model Order Determination.... 438 David J. Booth and Ruth Tye Use of Data Mining Techniques for Improved Detection of Breast Cancer with Biofield Diagnostic System............................. 444 S. Vinitha Sree, E.Y.K. Ng, G. Kaw, and U. Rajendra Acharya Clustering of Entropy Topography in Epileptic Electroencephalography........................................... 453 Nadia Mammone, Giuseppina Inuso, Fabio La Foresta, Mario Versaci, and Francesco C. Morabito Riverflow Prediction with Artificial Neural Networks ................. 463 A.W. Jayawardena Applying Snap-Drift Neural Network to Trajectory Data to Identify Road Types: Assessing the Effect of Trajectory Variability ............ 472 Frank Ekpenyong and Dominic Palmer-Brown