Adaptive and Natural Computing Algorithms Proceedings of the International Conference in Coimbra, Portugal, 2005

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.

Neural Networks.- ADFUNN: An Adaptive Function Neural Network.- Certain comments on data preparation for neural networks based modelling.- A simple method for selection of inputs and structure of feedforward neural networks.- The Concept and Properties of Sigma-if Neural Network.- Beta wavelet networks for function approximation.- Speeding up backpropagation with Multiplicative Batch Update Step.- Generating Sequential Triangle Strips by Using Hopfield Nets.- The Linear Approximation Method to the Modified Hopfield Neural Network Parameters Analysis.- The Analytical Analysis of Hopfield Neuron Parameters by the Application of Special Trans Function Theory.- Time-Oriented Hierarchical Method for Computation of Minor Components.- Evolution versus Learning in Temporal Neural Networks.- Minimization of empirical error over perceptron networks.- Interval Basis Neural Networks.- Learning from Randomly-Distributed Inaccurate Measurements.- Combining Topological and Cardinal Directional Relation Information in Qualitative Spatial Reasoning.- An Evidence Theoretic Ensemble Design Technique.- Cortical Modulation of Synaptic Efficacies through Norepinephrine.- Associative Memories with Small World Connectivity.- A Memory-Based Reinforcement Learning Model Utilizing Macro-Actions.- A Biologically Motivated Classifier that Preserves Implicit Relationship Information in Layered Networks.- Large Scale Hetero-Associative Networks with Very High Classification Ability and Attractor Discrimination Consisting of Cumulative-Learned 3-Layer Neural Networks.- Crack width prediction of RC structures by Artificial Neural Networks.- A neural network system for modelling of coagulant dosage used in drinking water treatment.- ANN modeling applied to NOX reduction with octane. Ann future in personal vehicles.- A method for detecting cause-effects in data from complex processes.- Predictive data mining on rubber compound database.- Applying Neural Network to Inverse Kinematic Problem for 6R Robot Manipulator with Offset Wrist.- Local Cluster Neural Network Chip for Control.- A Switching Controller for Nonlinear Systems via Fuzzy Models.- Competitive Decentralized Autonomous Neural Net Controllers.- Improved hierarchical fuzzy control scheme.- On-line Inference of Finite Automata in Noisy Environments.- Improved Clustering by Rotation of Cluster Centres.- Hierarchical Growing Neural Gas.- A Clustering Algorithm using Cellular Learning Automata based Evolutionary Algorithm.- Estimating the number of clusters from distributional results of partitioning a given data set.- AUDyC Neural Network using a new Gaussian Densities Merge Mechanism.- The Growing Hierarchical Self-Organizing Feature Maps And Genetic Algorithms for Large Scale Power System Security.- 3D Self-organizing Convex Neural Network Architectures.- Novel Learning Algorithm Aiming at Generating a Unique Units Distribution in Standard SOM.- SOM-Based Estimation of Meteorological Profiles.- An Efficient Heuristic for the Traveling Salesman Problem Based on a Growing SOM-like Algorithm.- Evolutionary Computation.- Evolutionary Design and Evaluation of Modeling System for Forecasting Urban Airborne Maximum Pollutant Concentrations.- Evolving Evolvability: Evolving both representations and operators.- A Multi-Objective Evolutionary Algorithm for Solving Traveling Salesman Problems: Application to the Design of Polymer Extruders.- The Pareto-Box Problem for the Modelling of Evolutionary Multiobjective Optimization Algorithms.- Implementation and Experimental Validation of the Population Learning Algorithm Applied to Solving QAP Instances.- Estimating the distribution in an EDA.- Modelling Chlorine Decay in Water Networks with Genetic Programming.- Evolving Blackjack Strategies Using Cultural Learning.- Two-Criterion Optimization in State Assignment for Synchronous Finite State Machines using NSGA-II.- Offspring Selection: A New Self-Adaptive Selection Scheme for Genetic Algorithms.- Using Genetic Algorithms with Real-coded Binary Representation for Solving Non-stationary Problems.- Dynamics in Proportionate Selection..- Generating grammatical plant models with genetic algorithms.- Golomb Rulers: Experiments with Marks Representation.- Evolving Segments Length in Golomb Rulers.- Resource-Limited Genetic Programming: Replacing Tree Depth Limits.- Treating Some Constraints as Hard Speeds up the ESG Local Search Algorithm.- Applications of PSO Algorithm and OIF Elman Neural Network to Assessment and Forecasting for Atmospheric Quality.- A hybrid particle swarm optimization model for the traveling salesman problem.- Perceptive Particle Swarm Optimisation.- Wasp swarm optimization of logistic systems.- A Parallel Vector-Based Particle Swarm Optimizer.- Numerical Simulations of a Possible Hypercomputational Quantum Algorithm.- Simulated Fault Injection in Quantum Circuits with the Bubble Bit Technique.- Redundant Quantum Arithmetic.- A Special Class of Additive Cyclic Codes for DNA Computing.- Adaptive and Natural Computing.- Evolutionary Algorithms for Static and Dynamic Optimization of Fed-batch Fermentation Processes.- Benchmark testing of simulated annealing, adaptive random search and genetic algorithms for the global optimization of bioprocesses.- Dynamic modelling and optimisation of a mammalian cells process using hybrid grey-box systems.- Adaptive DO-based control of substrate feeding in high cell density cultures operated under oxygen transfer limitation.- Evolutionary Design of Neural Networks for Classification and Regression.- Pelican — Protein-structure Alignment using Cellular Automaton models.- An Efficient Algorithm for De Novo Peptide Sequencing.- Emergent Behavior of Interacting Groups of Communicative Agents.- Integrating binding site predictions using meta classification methods.- Reverse engineering gene networks with artificial neural networks.- A Meta-Level Architecture for Adaptive Applications.- Adaptive Finite State Automata and Genetic Algorithms: Merging Individual Adaptation and Population Evolution.- Modeling a tool for the generation of programming environments for adaptive formalisms.- Adaptive Decision Tables A Case Study of their Application to Decision-Taking Problems.- Robotic mapping and navigation in unknown environments using adaptive automata.- An Adaptive Framework for the Design of Software Specification Languages.- Swarm Intelligence Clustering Algorithm based on Attractor.- Ant-based distributed optimization for supply chain management.- Comparison of nature inspired and deterministic scheduling heuristics considering optimal schedules.- An External Memory Supported ACO for the Frequency Assignment Problem.- Soft Computing Applications.- Neural Networks for Extraction of Fuzzy Logic Rules with Application to EEG Data.- A New Neuro-Based Method for Short Term Load Forecasting of Iran National Power System.- Approximating the Algebraic Solution of System of Interval Linear Equations with Use of Neural Networks.- Comparing Diversity and Training Accuracy in Classifier Selection for Plurality Voting Based Fusion.- Visualization of Meta-Reasoning in Multi-Agent Systems.- Intelligent Agent-Inspired Genetic Algorithm.- Combining Lazy Learning, Racing and Subsampling for Effective Feature Selection.- Personalized News Access.- A More Accurate Text Classifier for Positive and Unlabeled data.- Efficiency Aspects of Neural Network Architecture Evolution Using Direct and Indirect Encoding.- Genetic Algorithm Optimization of an Artificial Neural Network for Financial Applications.- A Method to Improve Generalization of Neural Networks: Application to the Problem of Bankruptcy Prediction.- An Adaptive Neural System for Financial Time Series Tracking.- Probabilistic Artificial Neural Networks for Malignant Melanoma Prognosis.- Boosting Kernel Discriminant Analysis with Adaptive Kernel Selection.- Product Kernel Regularization Networks.- Statistical Correlations and Machine Learning for Steganalysis.- T