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Computational Intelligence and Bioinspired Systems

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We present in this volume the collection of finally accepted papers of the eighth edition of the "IWANN" conference ("Internation... Weiterlesen
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We present in this volume the collection of finally accepted papers of the eighth edition 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 evolutionary systems). Since the first edition of IWANN in Granada (LNCS 540, 1991), the Artificial Neural Network (ANN) community, and the domain itself, have matured and evolved. Under the ANN banner we find a very heterogeneous scenario with a main interest and objective: to better understand nature and beings for the correct elaboration of theories, models and new algorithms. For scientists, engineers and professionals working in the area, this is a very good way to get solid and competitive applications. We are facing a real revolution with the emergence of embedded intelligence in many artificial systems (systems covering diverse fields: industry, domotics, leisure, healthcare, ... ). So we are convinced that an enormous amount of work must be, and should be, still done. Many pieces of the puzzle must be built and placed into their proper positions, offering us new and solid theories and models (necessary tools) for the application and praxis of these current paradigms. The above-mentioned concepts were the main reason for the subtitle of the IWANN 2005 edition: "Computational Intelligence and Bioinspired Systems." The call for papers was launched several months ago, addressing the following topics: 1. Mathematical and theoretical methods in computational intelligence.


Mathematical and Theoretical Methods.- Role of Function Complexity and Network Size in the Generalization Ability of Feedforward Networks.- Analysis of the Sanger Hebbian Neural Network.- Considering Multidimensional Information Through Vector Neural Networks.- Combining Ant Colony Optimization with Dynamic Programming for Solving the k-Cardinality Tree Problem.- Evolutionary Computation.- A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Interpolation.- Average Time Complexity of Estimation of Distribution Algorithms.- A Comparison of Evolutionary Approaches to the Shortest Common Supersequence Problem.- Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression.- Applying Bio-inspired Techniques to the p-Median Problem.- Optimal Strategy for Resource Allocation of Two-Dimensional Potts Model Using Genetic Algorithm.- Memetic Algorithms to Product-Unit Neural Networks for Regression.- Lamarckian Clonal Selection Algorithm Based Function Optimization.- Neurocomputational Inspired Models.- Artificial Neural Networks Based on Brain Circuits Behaviour and Genetic Algorithms.- Modeling Synaptic Transmission and Quantifying Information Transfer in the Granular Layer of the Cerebellum.- The After-Hyperpolarization Amplitude and the Rise Time Constant of IPSC Affect the Synchronization Properties of Networks of Inhibitory Interneurons.- TiViPE Simulation of a Cortical Crossing Cell Model.- A Model of Spiking-Bursting Neuronal Behavior Using a Piecewise Linear Two-Dimensional Map.- Real-Time Spiking Neural Network: An Adaptive Cerebellar Model.- Modeling Neural Processes in Lindenmayer Systems.- Modeling Stimulus Equivalence with Multi Layered Neural Networks.- Instability of Attractors in Auto-associative Networks with Bio-inspired Fast Synaptic Noise.- Lookup Table Powered Neural Event-Driven Simulator.- Learning and Adaptation.- Joint Kernel Maps.- Statistical Ensemble Method (SEM): A New Meta-machine Learning Approach Based on Statistical Techniques.- Neural Network Modeling by Subsampling.- Balanced Boosting with Parallel Perceptrons.- A Reinforcement Learning Algorithm Using Temporal Difference Error in Ant Model.- Selection of Weights for Sequential Feed-Forward Neural Networks: An Experimental Study.- Exploiting Multitask Learning Schemes Using Private Subnetworks.- Co-evolutionary Learning in Liquid Architectures.- Extended Sparse Nonnegative Matrix Factorization.- Radial Basic Functions Structures.- Using a Mahalanobis-Like Distance to Train Radial Basis Neural Networks.- Robustness of Radial Basis Functions.- Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm.- Input Variable Selection in Hierarchical RBF Networks.- Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach.- Application of ANOVA to a Cooperative-Coevolutionary Optimization of RBFNs.- Self-organizing Networks and Methods.- Characterizing Self-developing Biological Neural Networks: A First Step Towards Their Application to Computing Systems.- Cooperative Bees Swarm for Solving the Maximum Weighted Satisfiability Problem.- Deriving Cortical Maps and Elastic Nets from Topology-Preserving Maps.- Evolution of Cooperating ANNs Through Functional Phenotypic Affinity.- Robust Growing Hierarchical Self Organizing Map.- Support Vector Machines.- Web Usage Mining Using Support Vector Machine.- Multi-kernel Growing Support Vector Regressor.- Cellular Neural Networks.- Stability Results for Cellular Neural Networks with Time Delays.- Global Exponential Stability Analysis in Cellular Neural Networks with Time-Varying Coefficients and Delays.- Hybrid Systems.- Diversity and Multimodal Search with a Hybrid Two-Population GA: An Application to ANN Development.- Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation.- Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models.- Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks.- IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks.- Hierarchical Neuro-fuzzy Models Based on Reinforcement Learning for Intelligent Agents.- Neuroengineering and Hardware Implementations.- Interfacing with Patterned in Vitro Neural Networks by Means of Hybrid Glass-Elastomer Neurovectors: Progress on Neuron Placement, Neurite Outgrowth and Biopotential Measurements.- Using Kolmogorov Inspired Gates for Low Power Nanoelectronics.- CMOL CrossNets as Pattern Classifiers.- Analog VLSI Implementation of Adaptive Synapses in Pulsed Neural Networks.- Smart Sensing with Adaptive Analog Circuits.- Spiking Neurons Computing Platform.- Inter-spike-intervals Analysis of Poisson Like Hardware Synthetic AER Generation.- Ultra Low-Power Neural Inspired Addition: When Serial Might Outperform Parallel Architectures.- An Asynchronous 4-to-4 AER Mapper.- Fast Optoelectronic Neural Network for Vision Applications.- A Computational Tool to Test Neuromorphic Encoding Schemes for Visual Neuroprostheses.- Test Infrastructure for Address-Event-Representation Communications.- Automatic Generation of Bio-inspired Retina-Like Processing Hardware.- Two Hardware Implementations of the Exhaustive Synthetic AER Generation Method.- On the Design of a Parallel Genetic Algorithm Based on a Modified Survival Method for Evolvable Hardware.- A Novel Approach for the Implementation of Large Scale Spiking Neural Networks on FPGA Hardware.- A Quaternary CLB Design Using Quantum Device Technology on Silicon for FPGA Neural Network Architectures.- A Dynamically-Reconfigurable FPGA Platform for Evolving Fuzzy Systems.- FPGA Implementation of Hopfield Networks for Systems Identification.- An FPGA-Based Adaptive Fuzzy Coprocessor.- Pattern Recognition.- Cascade Ensembles.- Ensembles of Multilayer Feedforward: Some New Results.- Layered Network Computations by Parallel Nonlinear Processing.- Fast Classification with Neural Networks via Confidence Rating.- Characterization and Synthesis of Objects Using Growing Neural Gas.- ARGEN + AREPO: Improving the Search Process with Artificial Genetic Engineering.- Perception and Robotics.- Modelling Perceptual Discrimination.- Memory Retrieval in a Neural Network with Chaotic Neurons and Dynamic Synapses.- Neural Network Based 3D Model Reconstruction with Highly Distorted Stereoscopic Sensors.- Evolutionary Design of a Brain-Computer Interface.- Vision-Based Walking Parameter Estimation for Biped Locomotion Imitation.- Designing a Control System for an Autonomous Robot Using an Evolutionary Algorithm.- Pruning Neural Networks for a Two-Link Robot Control System.- Using PSOMs to Learn Inverse Kinematics Through Virtual Decomposition of the Robot.- Highly Modular Architecture for the General Control of Autonomous Robots.- Complex Behaviours Through Modulation in Autonomous Robot Control.- Applications on Data Analysis and Preprocessing.- Explorative Data Analysis Based on Self-organizing Maps and Automatic Map Analysis.- A Novel Optimization of Profile HMM by a Hybrid Genetic Algorithm.- Heuristic Search over a Ranking for Feature Selection.- Intrinsic Dimensionality Maps with the PCASOM.- Applications on Data Mining.- The Curse of Dimensionality in Data Mining and Time Series Prediction.- Obtaining a Complex Linguistic Data Summaries from Database Based on a New Linguistic Aggregation Operator.- Bias and Variance of Rotation-Based Ensembles.- Comparative Assessment of the Robustness of Missing Data Imputation Through Generative Topographic Mapping.- Induction of Decision Trees Using an Internal Control of Induction.- An Approach to Reduce the Cost of Evaluation in Evolutionary Learning.- Applications on Signal Processing.- Efficient Design of Fixed Point Digital FIR Filters by Using Differential Evolution Algorithm.- Manifold Constrained Finite Gaussian Mixtures.- A Comparison of Gaussian Based ANNs for the Classification of Multidimensional Hyperspectral Signals.- Voice Activity Detection Using Higher Order Statistics.- Matched Filter as Pre-processing Tool for Multi-user Detection in DS-CDMA System.- A Robust Multiple Feature Approach to Endpoint Detection in Car Environment Based on Advanced Classifiers.- Canonical Correlation Analysis Using for DOA Estimation of Multiple Audio Sources.- Applications on Image Processing.- Multilayer Perceptrons Applied to Traffic Sign Recognition Tasks.- Shape Classification Algorithm Using Support Vector Machines for Traffic Sign Recognition.- A Practical License Plate Recognition System for Real-Time Environments.- Matching Algorithm for Hangul Recognition Based on PDA.- Block LDA for Face Recognition.- Image Processing with CNN in a FPGA-Based Augmented Reality System for Visually Impaired People.- A Gradient Descent MRI Illumination Correction Algorithm.- Mutifractal Analysis of Electroencephalogram Time Series in Humans.- Face Recognition with Improved Pairwise Coupling Support Vector Machines.- Face Recognition System Based on PCA and Feedforward Neural Networks.- A New Fuzzy Approach for Edge Detection.- Applications on Forecasting.- Fault Detection and Prediction of Clocks and Timers Based on Computer Audition and Probabilistic Neural Networks.- Long Term Prediction of Product Quality in a Glass Manufacturing Process Using a Kernel Based Approach.- Time Series Forecast with Anticipation Using Genetic Programming.- Multi-modeling: A Different Way to Design Intelligent Predictors.- Input and Structure Selection for k-NN Approximator.- Nonlinear Robust Identification with ? - GA: FPS Under Several Norms Simultaneously.- Input Selection for Long-Term Prediction of Time Series.- Direct and Recursive Prediction of Time Series Using Mutual Information Selection.- Load Forecasting Using Fixed-Size Least Squares Support Vector Machines.- TaSe Model for Long Term Time Series Forecasting.- Applications on Independent Component Analysis and Blind Source Separation.- Connections Between ICA and Sparse Coding Revisited.- Analysis of Variance of Three Contrast Functions in a Genetic Algorithm for Non-linear Blind Source Separation.- Robust Processing of Microarray Data by Independent Component Analysis.- Multichannel Blind Signal Separation in Semiconductor-Based GAS Sensor Arrays.- Clustering of Signals Using Incomplete Independent Component Analysis.- A Hybridization of Simulated Annealing and Local PCA for Automatic Component Assignment Within ICA.- An ICA Approach to Detect Functionally Different Intra-regional Neuronal Signals in MEG Data.- Filtering-Free Blind Separation of Correlated Images.- Robust Blind Image Watermarking with Independent Component Analysis: A Embedding Algorithm.- Applications on Power Systems.- Adaptive Load Frequency Control with Dynamic Fuzzy Networks in Power Systems.- Fault Fuzzy Rule Extraction from AC Motors by Neuro-fuzzy Models.- Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms.- Use of ANN in a Research Reactor Power Fuzzy Controller.- Other Applications.- The Use of Bayesian Networks for Subgrouping Heterogeneous Diseases.- Graph Partitioning via Recurrent Multivalued Neural Networks.- Dynamical Random Neural Network Approach to a Problem of Optimal Resource Allocation.- Biometric Hand Recognition Using Neural Networks.- Biometric Identification by Means of Hand Geometry and a Neural Net Classifier.- Study of a Committee of Neural Networks for Biometric Hand-Geometry Recognition.- An Evolutionary Environment for Wind Turbine Blade Design.- Linguistic Properties Based on American Sign Language Recognition with Artificial Neural Networks Using a Sensory Glove and Motion Tracker.- Crack Detection in Wooden Pallets Using the Wavelet Transform of the Histogram of Connected Elements.- A Competitive-Based Method for Determining the Number of Groups: A Clinical Application.- Knowledge Extraction from Neural Networks Using the All-Permutations Fuzzy Rule Base: The LED Display Recognition Problem.- Controlling Force Based on Radial Fuzzy Functions in High-Speed Machining Processes.- Sequential PN Acquisition Scheme Based on a Fuzzy Logic Controller.- Fuzzy Logic System for Students' Evaluation.


Titel: Computational Intelligence and Bioinspired Systems
Untertitel: 8th International Work-Conference on Artificial Neural Networks, IWANN 2005, Vilanova i la Geltrú, Barcelona, Spain, June 8-10, 2005, Proceedings
EAN: 9783540321064
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Veröffentlichung: 21.06.2005
Digitaler Kopierschutz: Wasserzeichen
Dateigrösse: 25.68 MB
Anzahl Seiten: 1260

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"