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.
Klappentext
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.
Inhalt
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 Simul…