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

Francisco Sandoval

ISBN 10: 3540730060 / ISBN 13: 9783540730064

Editore: Springer Berlin Heidelberg, 2007

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - 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.

Codice articolo 9783540730064

Dati bibliografici

• Titolo: Computational and Ambient Intelligence : 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings
• Editore: Springer Berlin Heidelberg
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 3540730060
• ISBN 13: 9783540730064
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 64 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 64 millimetri di profondità
• Peso: 1773 grammi

Descrizione articolo

Riassunto

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.

Contenuti

Theoretical Concepts and Neuro Computational Formulations.- Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in Global Optimization.- Dynamics of Neural Networks - Some Qualitative Properties.- A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier.- Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons.- An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.- Analysis of Hebbian Models with Lateral Weight Connections.- Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiers.- Bio-inspired Memory Generation by Recurrent Neural Networks.- Non-parametric Residual Variance Estimation in Supervised Learning.- A Study on the Use of Statistical Tests for Experimentation with Neural Networks.- Improving Models and Learning Procedures.- Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory.- A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems.- Robust LTS Backpropagation Learning Algorithm.- Heuristic Search Based Exploration in Reinforcement Learning.- Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.- Automatic Model Selection for Probabilistic PCA.- Probabilistic Aggregation of Classifiers for Incremental Learning.- Behaviour-Based Clustering of Neural Networks Applied to Document Enhancement.- Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis.- Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.- Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.- A New Learning Strategy for Classification Problems with Different Training and Test Distributions.- Gaussian Fitting Based FDA for Chemometrics.- Two Pages Graph Layout Via Recurrent Multivalued Neural Networks.- Self-organizing Networks.- Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound.- Self-organization of Probabilistic PCA Models.- A New Adaptation of Self-Organizing Map for Dissimilarity Data.- Fusion of Self Organizing Maps.- ViSOM Ensembles for Visualization and Classification.- Adaptive Representation of Objects Topology Deformations with Growing Neural Gas.- Kernel Methods.- Kernel Machines for Non-vectorial Data.- An EA Multi-model Selection for SVM Multiclass Schemes.- Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning.- Multi-classification with Tri-class Support Vector Machines. A Review.- Tuning L1-SVM Hyperparameters with Modified Radius Margin Bounds and Simulated Annealing.- Evolutionary and Genetic Algorithms.- Well-Distributed Pareto Front by Using the Evolutionary Algorithm.- The Parallel Single Front Genetic Algorithm (PSFGA) in Dynamic Multi-objective Optimization.- Exploring Macroevolutionary Algorithms: Some Extensions and Improvements.- Optimal Scheduling of Multiple Dam System Using Harmony Search Algorithm.- Evolutionary Learning.- CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.- Particle Swarm Optimisation of Multiple Classifier Systems.- Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.- Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification.- Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.- Fuzzy Systems.- Multiresolutive Adaptive PN Acquisition Scheme with a Fuzzy Logic Estimator in Non Selective Fast SNR Variation Environments.- A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.- Assessing Students’ Teamwork Performance by Means of Fuzzy Logic.- Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process.- Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization.- Automatic Selection of Input Variables and Initialization Parameters in an Adaptive Neuro Fuzzy Inference System. Application for Modeling Visual Textures in Digital Images.- Neuroingeniering and Hardware Implementations.- Neural Inspired Architectures for Nanoelectronics.- Defects Tolerant Logic Gates for Unreliable Future Nanotechnologies.- A Programmable Time Event Coded Circuit Block for Reconfigurable Neuromorphic Computing.- Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot.- IAF Neuron Implementation for Mixed-Signal PCNN Hardware.- Statistical Simulations for Exploring Defect Tolerance and Power Consumption for 4 Subthreshold 1-Bit Addition Circuits.- Fuzzy ART Neural Network Parallel Computing on the GPU.- Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections.- A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology.- What von Neumann Did Not Say About Multiplexing Beyond Gate Failures—The Gory Details.- Towards a Platform for FPGA Implementation of the MLP Based Back Propagation Algorithm.- Visual Processing Platform Based on Artificial Retinas.- Data Analysis.- Clustering Signals Using Wavelets.- Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.- Consumer Profile Identification and Allocation.- Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes.- Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History.- Fuzzy Labeled Self-Organizing Map for Classification of Spectra.- Some Applications of Interval Analysis to Statistical Problems.- Visualizing High-Dimensional Input Data with Growing Self-Organizing Maps.- Auto Adjustable ANN-Based Classification System for Optimal High Dimensional Data Analysis.- Applying Fuzzy Data Mining for Soaring Area Selection.- Advantages of Using Feature Selection Techniques on Steganalysis Schemes.- Signal Processing.- Genetic Algorithm in the Optimization of the Acoustic Attenuation Systems.- Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks.- Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.- Neural Networks for Defect Detection in Non-destructive Evaluation by Sonic Signals.- Speech Processing.- Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation.- Extracting User Preferences by GTM for aiGA Weight Tuning in Unit Selection Text-to-Speech Synthesis.- Image Processing.- Modeling Visual Perception for Image Processing.- Derivation of SOM-Like Rules for Intensity Inhomogeneity Correction in MRI.- Incidence Position Estimation in a PET Detector Using a Discretized Positioning Circuit and Neural Networks.- Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis.- Efficient Facial Expression Recognition for Human Robot Interaction.- Face Recognition with Facial Mask Application and Neural Networks.- Multi-task Implementation for Image Reconstruction of an AER Communication.- Road Sign Recognition Using Spatial Dimension Reduction Methods Based on PCA and SVMs.- Specialized Ensemble of Classifiers for Traffic Sign Recognition.- Traffic Sign Classification by Image Preprocessing and Neural Networks.- Time Series and Prediction.- A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation.- Classifying Qualitative Time Series with SOM: The Typology of Career Paths in France.- Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model.- Predicting Financial Distress: A Case Study Using Self-organizing Maps.- Kernel Methods Applied to Time Series Forecasting.- Robotics and Planning Motor Control.- Embodying Cognitive Abilities: Categorization.- Behavioral Flexibility: An Emotion Based Approach.- Emerging Behaviors by Learning Joint Coordination in Articulated Mobile Robots.- Collaborative Emergent Navigation Based on Biometric Weighted Shared Control.- Bio-inspired Control Model for Object Manipulation by Humanoid Robots.- Neuronal Architecture for Reactive and Adaptive Navigation of a Mobile Robot.- Learning Autonomous Behaviours for Non-holonomic Vehicles.- Morphological Independence for Landmark Detection in Vision Based SLAM.- Power System Applications.- Self Organizing Map (SOM) Approach for Classification of Mechanical Faults in Induction Motors.- Method for Power System Topology Verification with Use of Radial Basis Function Networks.- Intelligent Detection of Voltage Instability in Power Distribution Systems.- RBF Based Induction Motor Control with a Good Nonlinearity Compensation.- Internet and Web Applications.- Neural Networks for QoS Network Management.- Improvement of Anomaly Intrusion Detection Performance by Indirect Relation for FTP Service.- Combining SVM Classifiers for Email Anti-spam Filtering.- Analyzing a Web-Based Social Network Using Kohonen’s SOM.- Multiple Instance Learning with Genetic Programming for Web Mining.- Biomedical Applications.- Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging Field Data and Domain Knowledge.- Clustering and Visualizing HIV Quasispecies Using Kohonen’s Self-Organizing Maps.- Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model.- Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.- Neural Networks and Other Machine Learning Methods in Cancer Research.- Neural Networks and Other Machine Learning Methods in Cancer Research.- Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer.- Towards the Integration of a Bioprofile in Ocular Melanoma.- Independent Component Analysis Applied to Detection of Early Breast Cancer Signs.- A Prototype Integrated Decision Support System for Breast Cancer Oncology.- Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.- Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning.- Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective.- Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach.- Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.- Assistive Technologies and e-Health.- Intelligent Healthcare Managing: An Assistive Technology Approach.- Design Improvements for Proportional Control of Autonomous Wheelchairs Via 3DOF Orientation Tracker.- The Impact of Cognitive Navigation Assistance on People with Special Needs.- Shared Autonomy in Assistive Technologies.- Augmented Reality Visualization Interface for Biometric Wireless Sensor Networks.- Using CARREL?+? to Increase Availability of Human Organs for Transplantation.- Nature-Inspired Planner Agent for Health Care.- Other Applications.- Optical Devices Diagnosis by Neural Classifier Exploiting Invariant Data Representation and Dimensionality Reduction Ability.- A Connectionist Model of Human Reading.- Discovering Stock Market Trading Rules Using Multi-layer Perceptrons.- Evaluation of Supervised vs. Non Supervised Databases for Hand Geometry Verification.- Perceptive Particle Swarm Optimization: A New Learning Method from Birds Seeking.- A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems.- Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction.- Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process.