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.- The Use of Multi-Criteria in Feature Selection to Enhance Text Categorization.- Text Classification from Partially Labeled Distributed Data.- Recovering the Cyclic-Code of Generated Polynomial by Using Evolutionary Computation.- Intrusion Detection System Based on a Cooperative Topology Preserving Method.- Model Selection for Kernel Based Intrusion Detection Systems.- A Comparison of Three Genetic Algorithms for Locking-Cache Contents Selection in Real-Time Systems.- A Binary Digital Watermarking Scheme Based On The Orthogonal Vector And ICA-SCS Denoising.- Computer Vision and Pattern Recognition.- Simulating binocular eye movements based on 3-D short-term memory image in reading.- An Algorithm For Face Pose Adjustment Based On Gray-scale Static Image.- Learning Image Filtering from a Gold Sample Based on Genetic Optimization of Morphological Processing.- Associative Memories and Diagnostic Classification of EMG Signals.- Discretization of Series of Communication Signals in Noisy Environment by Reinforcement Learning.- The Research of Speaker-Independent Continuous Mandarin Digits Speech- Recognition Based on the Dynamic Search Method of High-Dimension Space Vertex Cover.- A Connectionist Model of Finding Partial Groups in Music Recordings with Application to Music Transcription.- Adaptive ICA Algorithm Based on Asymmetric Generalized Gaussian Density Model.- Hybrid Methods and Tools.- Toward an On-Line Handwriting Recognition System Based on Visual Coding and Genetic Algorithm.- Multi-objective genetic algorithm applied to the structure selection of RBFNN temperature estimators.- Assessing the Reliability of Complex Networks through Hybrid Intelligent Systems.- Autonomous Behavior of Computational Agents.- Neural Network Generating Hidden Markov Chain.- Datamining in Grid Environment.- Parallel Placement Procedure based on Distributed Genetic Algorithms.- Massive parallelization of the compact genetic algorithm.- Parallel implementations of feed-forward neural network using MPI and C# on .NET platform.- HeuristicLab: A Generic and Extensible Optimization Environment.- The Satellite List.