Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005Bernadete Ribeiro Springer Science & Business Media, 2005 M03 8 - 545 pages The ICANNGA series of Conferences has been organised since 1993 and has a long history of promoting the principles and understanding of computational intelligence paradigms within the scientific community and is a reference for established workers in this area. Starting in Innsbruck, in Austria (1993), then to Ales in Prance (1995), Norwich in England (1997), Portoroz in Slovenia (1999), Prague in the Czech Republic (2001) and finally Roanne, in France (2003), the ICANNGA series has established itself for experienced workers in the field. The series has also been of value to young researchers wishing both to extend their knowledge and experience and also to meet internationally renowned experts. The 2005 Conference, the seventh in the ICANNGA series, will take place at the University of Coimbra in Portugal, drawing on the experience of previous events, and following the same general model, combining technical sessions, including plenary lectures by renowned scientists, with tutorials. |
Contents
An Adaptive Function Neural Network | 1 |
Certain comments on data preparation for neural networks based modelling | 5 |
A simple method for selection of inputs and structure of feedforward neural networks | 9 |
The Concept and Properties of Sigmaif Neural Network | 13 |
Beta Wavelet Networks for Function Approximation | 18 |
Speeding up Backpropagation with Multiplicative Batch Update Step | 22 |
Generating Sequential Triangle Strips by Using Hopfield Nets | 25 |
The Linear Approximation Method to the Modified Hopfield Neural Network Parameters Analysis | 29 |
Redundant Quantum Arithmetic | 280 |
A Special Class of Additive Cyclic Codes for DNA Computing | 284 |
Evolutionary Algorithms for Static and Dynamic Optimization of Fedbatch Fermentation Processes | 288 |
Benchmark testing of simulated annealing adaptive random search and genetic algorithms for the global optimization of bioprocesses | 292 |
Dynamic modelling and optimisation of a mammalian cells process using hybrid greybox systems | 296 |
Adaptive DObased control of substrate feeding in high cell density cultures operated under oxygen transfer limitation | 300 |
Evolutionary Design of Neural Networks for Classification and Regression | 304 |
Pelican Proteinstructure Alignment using Cellular Automaton models | 308 |
The Analytical Analysis of Hopfield Neuron Parameters by the Application of Special Trans Function Theory | 33 |
TimeOriented Hierarchical Method for Computation of Minor Components | 38 |
Evolution versus Learning in Temporal Neural Networks | 42 |
Minimization of empirical error over perceptron networks | 46 |
Interval Basis Neural Networks | 50 |
Learning from RandomlyDistributed Inaccurate Measurements | 54 |
Combining Topological and Cardinal Directional Relation Information in Qualitative Spatial Reasoning | 62 |
An Evidence Theoretic Ensemble Design Technique | 66 |
Cortical Modulation of Synaptic Efficacies through Norepinephrine | 70 |
Associative Memories with Small World Connectivity | 74 |
A MemoryBased Reinforcement Learning Model Utilizing MacroActions | 78 |
A Biologically Motivated Classifier that Preserves Implicit Relationship Information in Layered Networks | 82 |
Large Scale HeteroAssociative Networks with Very High Classification Ability and Attractor Discrimination Consisting of CumulativeLearned 3Layer... | 86 |
Crack width prediction of RC structures by Artificial Neural Networks | 92 |
A neural network system for modelling of coagulant dosage used in drinking water treatment | 96 |
ANN modeling applied to NOX reduction with octane Ann future in personal vehicles | 100 |
A method for detecting causeeffects in data from complex processes | 104 |
Predictive data mining on rubber compound database | 108 |
Applying Neural Network to Inverse Kinematic Problem for 6R Robot Manipulator with Offset Wrist | 112 |
Local Cluster Neural Network Chip for Control | 116 |
A Switching Controller for Nonlinear Systems via Fuzzy Models | 120 |
Competitive Decentralized Autonomous Neural Net Controllers | 124 |
Improved hierarchical fuzzy control scheme | 128 |
Online Inference of Finite Automata in Noisy Environments | 132 |
Improved Clustering by Rotation of Cluster Centres | 136 |
Hierarchical Growing Neural Gas | 140 |
A Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm | 144 |
Estimating the number of clusters from distributional results of partitioning a given data set | 151 |
AUDyC Neural Network using a new Gaussian Densities Merge Mechanism | 155 |
The Growing Hierarchical SelfOrganizing Feature Maps And Genetic Algorithms for Large Scale Power System Security | 159 |
3D Selforganizing Convex Neural Network Architectures | 164 |
Novel Learning Algorithm Aiming at Generating a Unique Units Distribution in Standard SOM | 168 |
SOMBased Estimation of Meteorological Profiles | 173 |
An Efficient Heuristic for the Traveling Salesman Problem Based on a Growing SOMlike Algorithm | 177 |
Evolutionary Design and Evaluation of Modeling System for Forecasting Urban Airborne Maximum Pollutant Concentrations | 181 |
Evolving both representations and operators | 185 |
Application to the Design of Polymer Extruders | 189 |
The PARETOBox Problem for the Modelling of Evolutionary Multiobjective Optimization Algorithms | 194 |
Implementation and Experimental Validation of the Population Learning Algorithm Applied to Solving QAP Instances | 198 |
Estimating the distribution in an EDA | 202 |
Modelling Chlorine Decay in Water Networks with Genetic Programming | 206 |
Evolving Blackjack Strategies Using Cultural Learning | 210 |
TwoCriterion Optimization in State Assignment for Synchronous Finite State Machines using NSGAII | 214 |
A New SelfAdaptive Selection Scheme for Genetic Algorithms | 218 |
Using Genetic Algorithms with Realcoded Binary Representation for Solving Nonstationary Problems | 222 |
Dynamics in Proportionate Selection | 226 |
Generating grammatical plant models with genetic algorithms | 230 |
Experiments with Marks Representation | 235 |
Evolving Segments Length in Golomb Rulers | 239 |
Replacing Tree Depth Limits | 243 |
Treating Some Constraints as Hard Speeds up the ESG Local Search Algorithm | 247 |
Applications of PSO Algorithm and OIF Elman Neural Network to Assessment and Forecasting for Atmospheric Quality | 251 |
A hybrid particle swarm optimization model for the traveling salesman problem | 255 |
Perceptive Particle Swarm Optimisation | 259 |
Wasp swarm optimization of logistic systems | 264 |
A Parallel VectorBased Particle Swarm Optimizer | 268 |
Numerical Simulations of a Possible Hypercomputational Quantum Algorithm | 272 |
Simulated Fault Injection in Quantum Circuits with the Bubble Bit Technique | 276 |
An Efficient Algorithm for De Novo Peptide Sequencing | 312 |
Emergent Behavior of Interacting Groups of Communicative Agents | 316 |
Integrating binding site predictions using meta classification methods | 321 |
Reverse engineering gene networks with artificial neural networks | 325 |
A MetaLevel Architecture for Adaptive Applications | 329 |
Merging Individual Adaptation and Population Evolution | 333 |
Modeling a tool for the generation of programming environments for adaptive formalisms | 337 |
A Case Study of their Application to DecisionTaking Problems | 341 |
Robotic mapping and navigation in unknown environments using adaptive automata | 345 |
An Adaptive Framework for the Design of Software Specification Languages | 349 |
Swarm Intelligence Clustering Algorithm based on Attractor | 353 |
Antbased distributed optimization for supply chain management | 357 |
Comparison of nature inspired and deterministic scheduling heuristics considering optimal schedules | 361 |
An External Memory Supported AGO for the Frequency Assignment Problem | 365 |
Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data | 369 |
A New NeuroBased Method for Short Term Load Forecasting of Iran National Power System | 373 |
Approximating the Algebraic Solution of System of Interval Linear Equations with Use of Neural Networks | 377 |
Comparing Diversity and Training Accuracy in Classifier Selection for Plurality Voting Based Fusion | 381 |
Visualization of MetaReasoning in MultiAgent Systems | 385 |
Intelligent AgentInspired Genetic Algorithm | 389 |
Combining Lazy Learning Racing and Subsampling for Effective Feature Selection | 393 |
Personalized News Access | 397 |
A More Accurate Text Classifier for Positive and Unlabeled data | 401 |
Efficiency Aspects of Neural Network Architecture Evolution Using Direct and Indirect Encoding | 405 |
Genetic Algorithm Optimization of an Artificial Neural Network for Financial Applications | 409 |
Application to the Problem of Bankruptcy Prediction | 417 |
An Adaptive Neural System for Financial Time Series Tracking | 421 |
Probabilistic Artificial Neural Networks for Malignant Melanoma Prognosis | 425 |
Boosting Kernel Discriminant Analysis with Adaptive Kernel Selection | 429 |
Product Kernel Regularization Networks | 433 |
Statistical Correlations and Machine Learning for Steganalysis | 437 |
The Use of MultiCriteria in Feature Selection to Enhance Text Categorization | 441 |
Text Classification from Partially Labeled Distributed Data | 445 |
Recovering the CyclicCode of Generated Polynomial by Using Evolutionary Computation | 449 |
Intrusion Detection System Based on a Cooperative Topology Preserving Method | 454 |
Model Selection for Kernel Based Intrusion Detection Systems | 458 |
A Comparison of Three Genetic Algorithms for LockingCache Contents Selection in RealTime Systems | 462 |
A Binary Digital Watermarking Scheme Based On The Orthogonal Vector And ICASCS Denoising | 466 |
Simulating binocular eye movements based on 3D shortterm memory image in reading | 470 |
An Algorithm For Face Pose Adjustment Based On Grayscale Static Image | 474 |
Learning Image Filtering from a Gold Sample Based on Genetic Optimization of Morphological Processing | 478 |
Associative Memories and Diagnostic Classification of EMG Signals | 482 |
Discretization of Series of Communication Signals in Noisy Environment by Reinforcement Learning | 486 |
The Research of SpeakerIndependent Continuous Mandarin Digits Speech Recognition Based on the Dynamic Search Method of HighDimension Spa... | 490 |
A Connectionist Model of Finding Partial Groups in Music Recordings with Application to Music Transcription | 494 |
Adaptive ICA Algorithm Based on Asymmetric Generalized Gaussian Density Model | 498 |
Toward an OnLine Handwriting Recognition System Based on Visual Coding and Genetic Algorithm | 502 |
Multiobjective genetic algorithm applied to the structure selection of RBFNN temperature estimators | 506 |
Assessing the Reliability of Complex Networks through Hybrid Intelligent Systems | 510 |
Autonomous Behavior of Computational Agents | 514 |
Neural Network Generating Hidden Markov Chain | 518 |
Datamining in Grid Environment | 522 |
Parallel Placement Procedure based on Distributed Genetic Algorithms | 526 |
Massive parallelization of the compact genetic algorithm | 530 |
Parallel implementations of feedforward neural network using MPI and C on NET platform | 534 |
A Generic and Extensible Optimization Environment | 538 |
A Reversible DoublyLinked List | 542 |
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Common terms and phrases
adaptive agents analysis application approach approximation architecture Artificial Neural Networks attractor automata average behavior binary cell classifier clustering complex Computer convergence corresponding crossover cyclic codes data set defined distribution dynamic E-mail encoding environment equation error evaluation Evolutionary Evolutionary Algorithms Evolutionary Computation experiments feature Figure fitness fitness function forecasting function fuzzy gene Genetic Algorithms Golomb Rulers heuristic hidden layer IEEE implementation individuals initial input International iterations kernel linear Machine Learning mapping matrix maximum method mutation neurons node noise obtained operators optimisation optimization output paper parameters particle swarm optimization performance population prediction presented problem proposed random randomly representation represented robot rules samples selection signals simulation solution solve steganalysis step strategy structure Support Vector Machines swarm intelligence Table task technique tion training data training set traveling salesman problem updated variables vector weights