Engineering Applications of Neural Networks 11th International Conference, EANN 2009, London, UK, August 27-29, 2009. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Palmer-Brown, Dominic (Επιμελητής έκδοσης), Draganova, Chrisina (Επιμελητής έκδοσης), Pimenidis, Elias (Επιμελητής έκδοσης), Mouratidis, Haris (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Σειρά: Communications in Computer and Information Science, 43
• Θέματα: Computer science.; Computers.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Biometrics (Biology).; Engineering.; Computer Science.; Computation by Abstract Devices.; Artificial Intelligence (incl. Robotics).; Engineering, general.; Pattern Recognition.; Simulation and Modeling.; Biometrics.

 A cursory glance at the table of contents of EANN 2009 reveals the am- ing range of neural network and related applications. A random but revealing sample includes: reducing urban concentration, entropy topography in epil- tic electroencephalography, phytoplanktonic species recognition, revealing the structure of childhood abdominal pain data, robot control, discriminating angry and happy facial expressions, ?ood forecasting, and assessing credit worthiness. The diverse nature of applications demonstrates the vitality of neural comp- 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 Bayesian methods to snap-drift and spiking neurons. This year EANN accepted approximately 40% of submitted papers for fu- length presentation at the conference. All members of the Program Committee were asked to participate in the reviewing process. The standard of submissions was high, according to the reviewers, who did an excellent job. The Program and Organizing Committees thank them. Approximately 20% of submitted - pers will be chosen, the best according to the reviews, to be extended and - viewedagainfor inclusionin a specialissueofthe journalNeural Computing and Applications. We hope that these proceedings will help to stimulate further research and development of new applications and modes of neural computing. 

 Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement -- Neural Network Based Damage Detection of Dynamically Loaded Structures -- Reconstruction of Cross-Sectional Missing Data Using Neural Networks -- Municipal Creditworthiness Modelling by Kernel-Based Approaches with Supervised and Semi-supervised Learning -- Clustering of Pressure Fluctuation Data Using Self-Organizing Map -- Intelligent Fuzzy Reasoning for Flood Risk Estimation in River Evros -- Fuzzy Logic and Artificial Neural Networks for Advanced Authentication Using Soft Biometric Data -- Study of Alpha Peak Fitting by Techniques Based on Neural Networks -- Information Enhancement Learning: Local Enhanced Information to Detect the Importance of Input Variables in Competitive Learning -- Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study -- An Improved Algorithm for SVMs Classification of Imbalanced Data Sets -- Visualization of MIMO Process Dynamics Using Local Dynamic Modelling with Self Organizing Maps -- Data Visualisation and Exploration with Prior Knowledge -- Reducing Urban Concentration Using a Neural Network Model -- Dissimilarity-Based Classification of Multidimensional Signals by Conjoint Elastic Matching: Application to Phytoplanktonic Species Recognition -- Revealing the Structure of Childhood Abdominal Pain Data and Supporting Diagnostic Decision Making -- Relating Halftone Dot Quality to Paper Surface Topography -- Combining GRN Modeling and Demonstration-Based Programming for Robot Control -- Discriminating Angry, Happy and Neutral Facial Expression: A Comparison of Computational Models -- Modeling and Forecasting CAT and HDD Indices for Weather Derivative Pricing -- Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics -- Adaptive Electrical Signal Post-processing with Varying Representations in Optical Communication Systems -- Using of Artificial Neural Networks (ANN) for Aircraft Motion Parameters Identification -- Ellipse Support Vector Data Description -- Enhanced Radial Basis Function Neural Network Design Using Parallel Evolutionary Algorithms -- New Aspects of the Elastic Net Algorithm for Cluster Analysis -- Neural Networks for Forecasting in a Multi-skill Call Centre -- Relational Reinforcement Learning Applied to Appearance-Based Object Recognition -- Sensitivity Analysis of Forest Fire Risk Factors and Development of a Corresponding Fuzzy Inference System: The Case of Greece -- Nonmonotone Learning of Recurrent Neural Networks in Symbolic Sequence Processing Applications -- Indirect Adaptive Control Using Hopfield-Based Dynamic Neural Network for SISO Nonlinear Systems -- A Neural Network Computational Model of Visual Selective Attention -- Simulation of Large Spiking Neural Networks on Distributed Architectures, The “DAMNED” Simulator -- A Neural Network Model for the Critical Frequency of the F2 Ionospheric Layer over Cyprus -- Dictionary-Based Classification Models. Applications for Multichannel Neural Activity Analysis -- Pareto-Based Multi-output Metamodeling with Active Learning -- Isolating Stock Prices Variation with Neural Networks -- Evolutionary Ranking on Multiple Word Correction Algorithms Using Neural Network Approach -- Application of Neural Fuzzy Controller for Streaming Video over IEEE 802.15.1 -- Tracking of the Plasma States in a Nuclear Fusion Device Using SOMs -- An Application of the Occam Factor to Model Order Determination -- Use of Data Mining Techniques for Improved Detection of Breast Cancer with Biofield Diagnostic System -- Clustering of Entropy Topography in Epileptic Electroencephalography -- Riverflow Prediction with Artificial Neural Networks -- Applying Snap-Drift Neural Network to Trajectory Data to Identify Road Types: Assessing the Effect of Trajectory Variability -- Reputation Prediction in Mobile Ad Hoc Networks Using RBF Neural Networks.