Computational and Ambient Intelligence : 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings

We present in this volume the collection of finally accepted papers for the ninth e- tion of the IWANN conference (“International Work-Conference on Artificial Neural Networks”). This biennial meeting focuses on the foundations, theory, models and applications of systems inspired by nature (neural networks, fuzzy logic and evo- tionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the computational intelligence community and the domain itself have matured and evolved. Under the computational intelligent banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and natural entities for the correct elaboration of theories, models and new algorithms. For scientifics, engineers and professionals working in the area, this is a very good way to get real, solid and c- petitive applications. More and more, these new computational techniques are used in applications that try to bring a new situation of well-being to the user. The conjunction of a more and more miniaturized hardware together with the growing computational intelligence embodied in this hardware leads us towards fully integrated embedded systems-on- chip and opens the door for truly ubiquitous electronics. Front Matter....Pages - Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in Global Optimization....Pages 1-7 Dynamics of Neural Networks - Some Qualitative Properties....Pages 8-15 A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier....Pages 16-22 Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons....Pages 23-30 An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test....Pages 31-38 Analysis of Hebbian Models with Lateral Weight Connections....Pages 39-46 Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiers....Pages 47-54 Bio-inspired Memory Generation by Recurrent Neural Networks....Pages 55-62 Non-parametric Residual Variance Estimation in Supervised Learning....Pages 63-71 A Study on the Use of Statistical Tests for Experimentation with Neural Networks....Pages 72-79 Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory....Pages 80-93 A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems....Pages 94-101 Robust LTS Backpropagation Learning Algorithm....Pages 102-109 Heuristic Search Based Exploration in Reinforcement Learning....Pages 110-118 Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution....Pages 119-126 Automatic Model Selection for Probabilistic PCA....Pages 127-134 Probabilistic Aggregation of Classifiers for Incremental Learning....Pages 135-143 Behaviour-Based Clustering of Neural Networks Applied to Document Enhancement....Pages 144-151 Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis....Pages 152-161 Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples....Pages 162-169 Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments....Pages 170-177 A New Learning Strategy for Classification Problems with Different Training and Test Distributions....Pages 178-185 Gaussian Fitting Based FDA for Chemometrics....Pages 186-193 Two Pages Graph Layout Via Recurrent Multivalued Neural Networks....Pages 194-202 Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound....Pages 203-210 Self-organization of Probabilistic PCA Models....Pages 211-218 A New Adaptation of Self-Organizing Map for Dissimilarity Data....Pages 219-226 Fusion of Self Organizing Maps....Pages 227-234 ViSOM Ensembles for Visualization and Classification....Pages 235-243 Adaptive Representation of Objects Topology Deformations with Growing Neural Gas....Pages 244-251 Kernel Machines for Non-vectorial Data ....Pages 252-259 An EA Multi-model Selection for SVM Multiclass Schemes....Pages 260-267 Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning....Pages 268-275 Multi-classification with Tri-class Support Vector Machines. A Review....Pages 276-283 Tuning L1-SVM Hyperparameters with Modified Radius Margin Bounds and Simulated Annealing....Pages 284-291 Well-Distributed Pareto Front by Using the $\epsilon \hskip-0.9em \nearrow \hskip-0.4em-MOGA$ Evolutionary Algorithm....Pages 292-299 The Parallel Single Front Genetic Algorithm (PSFGA) in Dynamic Multi-objective Optimization....Pages 300-307 Exploring Macroevolutionary Algorithms: Some Extensions and Improvements....Pages 308-315 Optimal Scheduling of Multiple Dam System Using Harmony Search Algorithm....Pages 316-323 CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm....Pages 324-332 Particle Swarm Optimisation of Multiple Classifier Systems....Pages 333-340 Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems....Pages 341-350 Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification....Pages 351-358 Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study....Pages 359-366 Multiresolutive Adaptive PN Acquisition Scheme with a Fuzzy Logic Estimator in Non Selective Fast SNR Variation Environments....Pages 367-374 A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets....Pages 375-382 Assessing Students’ Teamwork Performance by Means of Fuzzy Logic....Pages 383-390 Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process....Pages 391-398 Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization....Pages 399-406 Automatic Selection of Input Variables and Initialization Parameters in an Adaptive Neuro Fuzzy Inference System. Application for Modeling Visual Textures in Digital Images....Pages 407-413 Neural Inspired Architectures for Nanoelectronics....Pages 414-421 Defects Tolerant Logic Gates for Unreliable Future Nanotechnologies....Pages 422-429 A Programmable Time Event Coded Circuit Block for Reconfigurable Neuromorphic Computing....Pages 430-437 Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot....Pages 438-446 IAF Neuron Implementation for Mixed-Signal PCNN Hardware....Pages 447-454 Statistical Simulations for Exploring Defect Tolerance and Power Consumption for 4 Subthreshold 1-Bit Addition Circuits....Pages 455-462 Fuzzy ART Neural Network Parallel Computing on the GPU....Pages 463-470 Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections....Pages 471-478 A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology....Pages 479-486 What von Neumann Did Not Say About Multiplexing Beyond Gate Failures—The Gory Details....Pages 487-496 Towards a Platform for FPGA Implementation of the MLP Based Back Propagation Algorithm....Pages 497-505 Visual Processing Platform Based on Artificial Retinas....Pages 506-513 Clustering Signals Using Wavelets....Pages 514-521 Information-Theoretic Feature Selection for the Classification of Hysteresis Curves....Pages 522-529 Consumer Profile Identification and Allocation....Pages 530-538 Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes....Pages 539-546 Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History....Pages 547-555 Fuzzy Labeled Self-Organizing Map for Classification of Spectra....Pages 556-563 Some Applications of Interval Analysis to Statistical Problems....Pages 564-579 Visualizing High-Dimensional Input Data with Growing Self-Organizing Maps....Pages 580-587 Auto Adjustable ANN-Based Classification System for Optimal High Dimensional Data Analysis....Pages 588-596 Applying Fuzzy Data Mining for Soaring Area Selection....Pages 597-605 Advantages of Using Feature Selection Techniques on Steganalysis Schemes....Pages 606-613 Genetic Algorithm in the Optimization of the Acoustic Attenuation Systems....Pages 614-621 Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks....Pages 622-629 Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size....Pages 630-637 Neural Networks for Defect Detection in Non-destructive Evaluation by Sonic Signals....Pages 638-645 Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation....Pages 646-653 Extracting User Preferences by GTM for aiGA Weight Tuning in Unit Selection Text-to-Speech Synthesis....Pages 654-661 Modeling Visual Perception for Image Processing....Pages 662-675 Derivation of SOM-Like Rules for Intensity Inhomogeneity Correction in MRI....Pages 676-683 Incidence Position Estimation in a PET Detector Using a Discretized Positioning Circuit and Neural Networks....Pages 684-691 Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis....Pages 692-699 Efficient Facial Expression Recognition for Human Robot Interaction....Pages 700-708 Face Recognition with Facial Mask Application and Neural Networks....Pages 709-716 Multi-task Implementation for Image Reconstruction of an AER Communication....Pages 717-724 Road Sign Recognition Using Spatial Dimension Reduction Methods Based on PCA and SVMs....Pages 725-732 Specialized Ensemble of Classifiers for Traffic Sign Recognition....Pages 733-740 Traffic Sign Classification by Image Preprocessing and Neural Networks....Pages 741-748 A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation....Pages 749-756 Classifying Qualitative Time Series with SOM: The Typology of Career Paths in France....Pages 757-764 Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model....Pages 765-773 Predicting Financial Distress: A Case Study Using Self-organizing Maps....Pages 774-781 Kernel Methods Applied to Time Series Forecasting....Pages 782-789 Embodying Cognitive Abilities: Categorization....Pages 790-797 Behavioral Flexibility: An Emotion Based Approach....Pages 798-805 Emerging Behaviors by Learning Joint Coordination in Articulated Mobile Robots....Pages 806-813 Collaborative Emergent Navigation Based on Biometric Weighted Shared Control....Pages 814-821 Bio-inspired Control Model for Object Manipulation by Humanoid Robots....Pages 822-829 Neuronal Architecture for Reactive and Adaptive Navigation of a Mobile Robot....Pages 830-838 Learning Autonomous Behaviours for Non-holonomic Vehicles....Pages 839-846 Morphological Independence for Landmark Detection in Vision Based SLAM....Pages 847-854 Self Organizing Map (SOM) Approach for Classification of Mechanical Faults in Induction Motors....Pages 855-861 Method for Power System Topology Verification with Use of Radial Basis Function Networks....Pages 862-869 Intelligent Detection of Voltage Instability in Power Distribution Systems....Pages 870-877 RBF Based Induction Motor Control with a Good Nonlinearity Compensation....Pages 878-886 Neural Networks for QoS Network Management....Pages 887-894 Improvement of Anomaly Intrusion Detection Performance by Indirect Relation for FTP Service....Pages 895-902 Combining SVM Classifiers for Email Anti-spam Filtering....Pages 903-910 Analyzing a Web-Based Social Network Using Kohonen’s SOM....Pages 911-918 Multiple Instance Learning with Genetic Programming for Web Mining....Pages 919-927 Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging Field Data and Domain Knowledge....Pages 928-939 Clustering and Visualizing HIV Quasispecies Using Kohonen’s Self-Organizing Maps....Pages 940-947 Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model....Pages 948-955 Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces....Pages 956-963 Neural Networks and Other Machine Learning Methods in Cancer Research....Pages 964-971 Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer....Pages 972-979 Towards the Integration of a Bioprofile in Ocular Melanoma....Pages 980-987 Independent Component Analysis Applied to Detection of Early Breast Cancer Signs....Pages 988-995 A Prototype Integrated Decision Support System for Breast Cancer Oncology....Pages 996-1003 Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm....Pages 1004-1011 Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning....Pages 1012-1019 Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective....Pages 1020-1027 Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach....Pages 1028-1035 Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra....Pages 1036-1044 Intelligent Healthcare Managing: An Assistive Technology Approach....Pages 1045-1051 Design Improvements for Proportional Control of Autonomous Wheelchairs Via 3DOF Orientation Tracker....Pages 1052-1059 The Impact of Cognitive Navigation Assistance on People with Special Needs....Pages 1060-1066 Shared Autonomy in Assistive Technologies....Pages 1067-1073 Augmented Reality Visualization Interface for Biometric Wireless Sensor Networks....Pages 1074-1081 Using CARREL + to Increase Availability of Human Organs for Transplantation....Pages 1082-1089 Nature-Inspired Planner Agent for Health Care....Pages 1090-1097 Optical Devices Diagnosis by Neural Classifier Exploiting Invariant Data Representation and Dimensionality Reduction Ability....Pages 1098-1105 A Connectionist Model of Human Reading....Pages 1106-1113 Discovering Stock Market Trading Rules Using Multi-layer Perceptrons....Pages 1114-1121 Evaluation of Supervised vs. Non Supervised Databases for Hand Geometry Verification....Pages 1122-1129 Perceptive Particle Swarm Optimization: A New Learning Method from Birds Seeking....Pages 1130-1137 A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems....Pages 1138-1146 Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction....Pages 1147-1154 Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process....Pages 1155-1162 Back Matter....Pages - This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. The 145 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 260 submissions. The papers are organized in thematic sections on theoretical concepts and neurocomputational formulations, inmproving models and learning procedures, self-organizing networks, kernel methods, evolutionary and genetic algorithms, evolutionary learning, fuzzy systems, neuroengineering and hardware implementations, data analysis, signal processing, speech processing, images processing, time series and prediction, robotics and planning motor control, power system applications, internet and web applications, biomedical applications, neural networks and other machine learning methods in cancer research, assistive technologies and e-health, as well as other applications

This book constitutes the refereed proceedings of the 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, held in San Sebastián, Spain in June 2007. Coverage includes theoretical concepts and neurocomputational formulations, evolutionary and genetic algorithms, data analysis, signal processing, robotics and planning motor control, as well as neural networks and other machine learning methods in cancer research.

This Book Constitutes The Refereed Proceedings Of The 9th International Work-conference On Artificial Neural Networks, Iwann 2007, Held In San Sebastián, Spain In June 2007. Coverage Includes Theoretical Concepts And Neurocomputational Formulations, Evolutionary And Genetic Algorithms, Data Analysis, Signal Processing, Robotics And Planning Motor Control, As Well As Neural Networks And Other Machine Learning Methods In Cancer Research.