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Bio-Inspired Systems: Computational and Ambient Intelligence: 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Salamanca, Spain, June 10-12, 2009. Proceedings, Part I: Lecture Notes in Computer Science, cartea 5517

Editat de Joan Cabestany, Francisco Sandoval, Alberto Prieto, Juan Manuel Corchado Rodríguez
en Limba Engleză Paperback – 8 iun 2009
This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.
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Specificații

ISBN-13: 9783642024771
ISBN-10: 3642024777
Pagini: 1407
Ilustrații: LXVI, 1356 p. In 2 volumes, not available separately.
Dimensiuni: 155 x 235 x 48 mm
Greutate: 1.54 kg
Ediția:2009
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Descriere

This volume presents the set of final accepted papers for the tenth edition of the IWANN conference “International Work-Conference on Artificial neural Networks” held in Salamanca (Spain) during June 10–12, 2009. IWANN is a biennial conference focusing on the foundations, theory, models and applications of systems inspired by nature (mainly, neural networks, evolutionary and soft-computing systems). Since the first edition in Granada (LNCS 540, 1991), the conference has evolved and matured. The list of topics in the successive Call for - pers has also evolved, resulting in the following list for the present edition: 1. Mathematical and theoretical methods in computational intelligence. C- plex and social systems. Evolutionary and genetic algorithms. Fuzzy logic. Mathematics for neural networks. RBF structures. Self-organizing networks and methods. Support vector machines. 2. Neurocomputational formulations. Single-neuron modelling. Perceptual m- elling. System-level neural modelling. Spiking neurons. Models of biological learning. 3. Learning and adaptation. Adaptive systems. Imitation learning. Reconfig- able systems. Supervised, non-supervised, reinforcement and statistical al- rithms. 4. Emulation of cognitive functions. Decision making. Multi-agent systems. S- sor mesh. Natural language. Pattern recognition. Perceptual and motor functions (visual, auditory, tactile, virtual reality, etc.). Robotics. Planning motor control. 5. Bio-inspired systems and neuro-engineering. Embedded intelligent systems. Evolvable computing. Evolving hardware. Microelectronics for neural, fuzzy and bio-inspired systems. Neural prostheses. Retinomorphic systems. Bra- computer interfaces (BCI). Nanosystems. Nanocognitive systems.

Cuprins

Theoretical Foundations and Models.- Lower Bounds for Approximation of Some Classes of Lebesgue Measurable Functions by Sigmoidal Neural Networks.- A Wavelet Based Method for Detecting Multiple Encoding Rhythms in Neural Networks.- Switching Dynamics of Neural Systems in the Presence of Multiplicative Colored Noise.- Gradient Like Behavior and High Gain Design of KWTA Neural Networks.- Fast Evaluation of Connectionist Language Models.- Improving the Consistency of AHP Matrices Using a Multi-layer Perceptron-Based Model.- Global and Local Modelling in Radial Basis Functions Networks.- A Preliminar Analysis of CO2RBFN in Imbalanced Problems.- Feature Selection in Survival Least Squares Support Vector Machines with Maximal Variation Constraints.- A Simple Maximum Gain Algorithm for Support Vector Regression.- Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes.- Self-estimation of Data and Approximation Reliability through Neural Networks.- FPGA Implementations Comparison of Neuro-cortical Inspired Convolution Processors for Spiking Systems.- Learning and Adaptation.- Nonparametric Location Estimation for Probability Density Function Learning.- An Awareness-Based Artificial Neural Network for Cooperative Distributed Environments.- Improving Classification under Changes in Class and Within-Class Distributions.- Improving Training in the Vicinity of Temporary Minima.- Convergence in an Adaptive Neural Network: The Influence of Noise Inputs Correlation.- Adaptative Resonance Theory Fuzzy Networks Parallel Computation Using CUDA.- A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization.- Ensemble Methods for Boosting Visualization Models.- New Artificial Metaplasticity MLP Results on Standard Data Base.- Self-organizing Networks, Methods and Applications.- Probabilistic Self-Organizing Graphs.- Spicules for Unsupervised Learning.- Topology Preserving Visualization Methods for Growing Self-Organizing Maps.- Making Standard SOM Invariant to the Initial Conditions.- The Complexity of the Batch Neural Gas Extended to Local PCA.- Self Organized Dynamic Tree Neural Network.- Development of Neural Network Structure with Biological Mechanisms.- Fuzzy Systems.- Fuzzy Logic, Soft Computing, and Applications.- A Similarity-Based WAM for Bousi~Prolog.- On the Declarative Semantics of Multi-Adjoint Logic Programs.- A Complete Logic for Fuzzy Functional Dependencies over Domains with Similarity Relations.- RFuzzy: An Expressive Simple Fuzzy Compiler.- Overcoming Non-commutativity in Multi-adjoint Concept Lattices.- Evolutionary Fuzzy Scheduler for Grid Computing.- Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.- A t-Norm Based Approach to Edge Detection.- Evolutionary Computation and Genetic Algoritms.- Applying Evolutionary Computation Methods to Formal Testing and Model Checking.- Applying Evolutionary Techniques to Debug Functional Programs.- Aiding Test Case Generation in Temporally Constrained State Based Systems Using Genetic Algorithms.- Creation of Specific-to-Problem Kernel Functions for Function Approximation.- Combining Genetic Algorithms and Mutation Testing to Generate Test Sequences.- Testing Restorable Systems by Using RFD.- RCGA-S/RCGA-SP Methods to Minimize the Delta Test for Regression Tasks.- An Evolutionary Hierarchical Clustering Method with a Visual Validation Tool.- An Adaptive Parameter Control for the Differential Evolution Algorithm.- Parallelizing the Design of Radial Basis Function Neural Networks by Means of Evolutionary Meta-algorithms.- A Genetic Algorithm for ANN Design, Training and Simplification.- Pattern Recognition.- Graph-Based Representations in Pattern Recognition and Computational Intelligence.- Kernelization of Softassign and Motzkin-Strauss Algorithms.- Connectivity Forests for Homological Analysis of Digital Volumes.- Energy-Based Perceptual Segmentation Using an Irregular Pyramid.- Hierarchical Graphs for Data Clustering.- Real Adaboost Ensembles with Emphasized Subsampling.- Using the Negentropy Increment to Determine the Number of Clusters.- A Wrapper Method for Feature Selection in Multiple Classes Datasets.- Formal Languages in Linguistics.- New Challenges in the Application of Non-classical Formal Languages to Linguistics.- PNEPs, NEPs for Context Free Parsing: Application to Natural Language Processing.- A Hyprolog Parsing Methodology for Property Grammars.- Adaptable Grammars for Non-Context-Free Languages.- ?-Reduction and Antecedent–Anaphora Relations in the Language of Acyclic Recursion.- Permutation Languages in Formal Linguistics.- Agents and Multi-agent on Intelligent Systems.- Thomas: Practical Applications of Agents and Multiagent Systems.- INGENIAS Development Process Assisted with Chains of Transformations.- A Secure Group-Oriented Model for Multiagent Systems.- Interactive Animation of Agent Formation Based on Hopfield Neural Networks.- The INGENIAS Development Kit: A Practical Application for Crisis-Management.- The Delphi Process Applied to African Traditional Medicine.- Composing and Ensuring Time-Bounded Agent Services.- An Organisation-Based Multiagent System for Medical Emergency Assistance.- TEMMAS: The Electricity Market Multi-Agent Simulator.- Two Steps Reinforcement Learning in Continuous Reinforcement Learning Tasks.- Multi-Agent System Theory for Modelling a Home Automation System.- THOMAS-MALL: A Multiagent System for Shopping and Guidance in Malls.- Multiagent-Based Educational Environment for Dependents.- Social and Cognitive System for Learning Negotiation Strategies with Incomplete Information.- Evaluation of Multi-Agent System Communication in INGENIAS.- Agents Jumping in the Air: Dream or Reality?.- Using Scenarios to Draft the Support of Intelligent Tools for Frail Elders in the SHARE-it Approach.- On the Road to an Abstract Architecture for Open Virtual Organizations.- Brain-Computer Interface (BCI).- Using Rest Class and Control Paradigms for Brain Computer Interfacing.- The Training Issue in Brain-Computer Interface: A Multi-disciplinary Field.- A Maxmin Approach to Optimize Spatial Filters for EEG Single-Trial Classification.- Multiple AM Modulated Visual Stimuli in Brain-Computer Interface.- A Brain-Computer Interface Based on Steady State Visual Evoked Potentials for Controlling a Robot.- Asynchronous Brain-Computer Interface to Navigate in Virtual Environments Using One Motor Imagery.- Impact of Frequency Selection on LCD Screens for SSVEP Based Brain-Computer Interfaces.- Multiobjetive Optimization.- Multiobjective Evolutionary Algorithms: Applications in Real Problems.- Evolutionary Genetic Algorithms in a Constraint Satisfaction Problem: Puzzle Eternity II.- Multiobjective Algorithms Hybridization to Optimize Broadcasting Parameters in Mobile Ad-Hoc Networks.- Application Synthesis for MPSoCs Implementation Using Multiobjective Optimization.- Multi Objective Optimization Algorithm Based on Neural Networks Inversion.- EMORBFN: An Evolutionary Multiobjetive Optimization Algorithm for RBFN Design.- Performance Measures for Dynamic Multi-Objective Optimization.- Robotics.- Methods for Artificial Evolution of Truly Cooperative Robots.- Social Robot Paradigms: An Overview.- A Dual Graph Pyramid Approach to Grid-Based and Topological Maps Integration for Mobile Robotics.- Integrating Graph-Based Vision Perception to Spoken Conversation in Human-Robot Interaction.- From Vision Sensor to Actuators, Spike Based Robot Control through Address-Event-Representation.- Automatic Generation of Biped Walk Behavior Using Genetic Algorithms.- Motion Planning of a Non-holonomic Vehicle in a Real Environment by Reinforcement Learning*.- Bioinformatics.- Applications in Bio-informatics and Biomedical Engineering.- A Large-Scale Genomics Studies Conducted with Batch-Learning SOM Utilizing High-Performance Supercomputers.- Clustering Method to Identify Gene Sets with Similar Expression Profiles in Adjacent Chromosomal Regions.- On Selecting the Best Pre-processing Method for Affymetrix Genechips.- Method for Prediction of Protein-Protein Interactions in Yeast Using Genomics/Proteomics Information and Feature Selection.- Protein Structure Prediction by Evolutionary Multi-objective Optimization: Search Space Reduction by Using Rotamers.- Using Efficient RBF Networks to Classify Transport Proteins Based on PSSM Profiles and Biochemical Properties.- Artificial Neural Network Based Algorithm for Biomolecular Interactions Modeling.- Biomedical Applications.- Modelling Dengue Epidemics with Autoregressive Switching Markov Models (AR-HMM).- A Theoretical Model for the Dengue Epidemic Using Delayed Differential Equations: Numerical Approaches.- System Identification of Dengue Fever Epidemics in Cuba.- HIV Model Described by Differential Inclusions.- Data Mining in Complex Diseases Using Evolutionary Computation.- Using UN/CEFACT’S Modelling Methodology (UMM) in e-Health Projects.- Matrix Metric Adaptation Linear Discriminant Analysis of Biomedical Data.- SPECT Image Classification Techniques for Computer Aided Diagnosis of the Alzheimer Disease.- Automatic System for Alzheimer’s Disease Diagnosis Using Eigenbrains and Bayesian Classification Rules.- On the Use of Morphometry Based Features for Alzheimer’s Disease Detection on MRI.- Selecting Regions of Interest for the Diagnosis of Alzheimer’s Disease in Brain SPECT Images Using Welch’s t-Test.- Alzheimer’s Diagnosis Using Eigenbrains and Support Vector Machines.- Artificial Intelligent Systems Based on Supervised HUMANN for Differential Diagnosis of Cognitive Impairment: Towards a 4P-HCDS.- Stratification Methodologies for Neural Networks Models of Survival.- Model Comparison for the Detection of EEG Arousals in Sleep Apnea Patients.- Ranking of Brain Tumour Classifiers Using a Bayesian Approach.- Feature Selection with Single-Layer Perceptrons for a Multicentre 1H-MRS Brain Tumour Database.- Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection.- Edges Detection of Clusters of Microcalcifications with SOM and Coordinate Logic Filters.- A New Methodology for Feature Selection Based on Machine Learning Methods Applied to Glaucoma.- Tissue Recognition Approach to Pressure Ulcer Area Estimation with Neural Networks.- Classification of Schistosomiasis Prevalence Using Fuzzy Case-Based Reasoning.- BAC Overlap Identification Based on Bit-Vectors.- Ambient Assisted Living (AAL) and Ambient Intelligence (AI).- AAL and the Mainstream of Digital Home.- Legal Concerns Regarding AmI Assisted Living in the Elderly, Worldwide and in Romania.- Construction and Debugging of a Multi-Agent Based Simulation to Study Ambient Intelligence Applications.- Easing the Smart Home: Translating Human Hierarchies to Intelligent Environments.- Wireless Sensor Networks in Home Care.- Indoor Localization Based on Neural Networks for Non-dedicated ZigBee Networks in AAL.- Managing Ambient Intelligence Sensor Network Systems, an Agent Based Approach.- Ambulatory Mobility Characterization Using Body Inertial Systems: An Application to Fall Detection.- User Daily Activity Classification from Accelerometry Using Feature Selection and SVM.- A Metrics Review for Performance Evaluation on Assisted Wheelchair Navigation.- Conventional Joystick vs. Wiimote for Holonomic Wheelchair Control.- Normal versus Pathological Cognitive Aging: Variability as a Constraint of Patients Profiling for AmI Design.- Other Applications.- Estimating the Embedding Dimension Distribution of Time Series with SOMOS.- Training Methods and Analysis of Composite, Evolved, On-Line Networks for Time Series Prediction.- Special Time Series Prediction: Creep of Concrete.- Artificial Neural Networks in Urban Runoff Forecast.- A Secret Sharing Scheme for Digital Images Based on Cellular Automata and Boolean Functions.- Shapes Description by a Segments-Based Neural Network.- Protecting DCT Templates for a Face Verification System by Means of Pseudo-random Permutations.- Efficient Parallel Feature Selection for Steganography Problems.- Mobile Applications: MovilPIU and Mobiblio.- A Case Study of a Pull WAP Location-Based Service Incorporating Maps Services.- A Mobile Tourist Decision Support System for Small Footprint Devices.- Stereo-MAS: Multi-Agent System for Image Stereo Processing.- Participatory EHPR: A Watermarking Solution.- Bus Network Scheduling Problem: GRASP + EAs with PISA * Simulation.- Wine Classification with Gas Sensors Combined with Independent Component Analysis and Neural Networks.- Experiments and Reference Models in Training Neural Networks for Short-Term Wind Power Forecasting in Electricity Markets.- Intrusion Detection Method Using Neural Networks Based on the Reduction of Characteristics.- Evaluating the Performance of the Multilayer Perceptron as a Data Editing Tool.- A.N.N. Based Approach to Mass Biometry Taking Advantage from Modularity.- Thresholded Neural Networks for Sensitive Industrial Classification Tasks.- ANN Based Solutions: It Is Time to Defeat Real-World and Industrial Dilemmas.- Pollution Alarm System in Mexico.

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, held in Salamanca, Spain in June 2009.
The 167 revised full papers presented together with 3 invited lectures were carefully reviewed and selected from over 230 submissions. The papers are organized in thematic sections on theoretical foundations and models; learning and adaptation; self-organizing networks, methods and applications; fuzzy systems; evolutionary computation and genetic algoritms; pattern recognition; formal languages in linguistics; agents and multi-agent on intelligent systems; brain-computer interfaces (bci); multiobjetive optimization; robotics; bioinformatics; biomedical applications; ambient assisted living (aal) and ambient intelligence (ai); other applications.