Theoretical Concepts and Neuro Computational Formulations.- Generating Random Deviates Consistent with the Long Term Behavior of Stochastic Search Processes in Global Optimization.- Dynamics of Neural Networks - Some Qualitative Properties.- A Comparative Study of PCA, ICA and Class-Conditional ICA for Naïve Bayes Classifier.- Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons.- An Efficient VAD Based on a Hang-Over Scheme and a Likelihood Ratio Test.- Analysis of Hebbian Models with Lateral Weight Connections.- Power Quality Event Identification Using Higher-Order Statistics and Neural Classifiers.- Bio-inspired Memory Generation by Recurrent Neural Networks.- Non-parametric Residual Variance Estimation in Supervised Learning.- A Study on the Use of Statistical Tests for Experimentation with Neural Networks.- Improving Models and Learning Procedures.- Unified Analysis and Design of ART/SOM Neural Networks and Fuzzy Inference Systems Based on Lattice Theory.- A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems.- Robust LTS Backpropagation Learning Algorithm.- Heuristic Search Based Exploration in Reinforcement Learning.- Improving Adaptive Boosting with a Relaxed Equation to Update the Sampling Distribution.- Automatic Model Selection for Probabilistic PCA.- Probabilistic Aggregation of Classifiers for Incremental Learning.- Behaviour-Based Clustering of Neural Networks Applied to Document Enhancement.- Building Automated Negotiation Strategies Enhanced by MLP and GR Neural Networks for Opponent Agent Behaviour Prognosis.- Improving the Performance of the RBF Neural Networks Trained with Imbalanced Samples.- Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments.- A New Learning Strategy for Classification Problems with Different Training and Test Distributions.- Gaussian Fitting Based FDA for Chemometrics.- Two Pages Graph Layout Via Recurrent Multivalued Neural Networks.- Self-organizing Networks.- Speeding Up the Dissimilarity Self-Organizing Maps by Branch and Bound.- Self-organization of Probabilistic PCA Models.- A New Adaptation of Self-Organizing Map for Dissimilarity Data.- Fusion of Self Organizing Maps.- ViSOM Ensembles for Visualization and Classification.- Adaptive Representation of Objects Topology Deformations with Growing Neural Gas.- Kernel Methods.- Kernel Machines for Non-vectorial Data.- An EA Multi-model Selection for SVM Multiclass Schemes.- Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning.- Multi-classification with Tri-class Support Vector Machines. A Review.- Tuning L1-SVM Hyperparameters with Modified Radius Margin Bounds and Simulated Annealing.- Evolutionary and Genetic Algorithms.- Well-Distributed Pareto Front by Using the Evolutionary Algorithm.- The Parallel Single Front Genetic Algorithm (PSFGA) in Dynamic Multi-objective Optimization.- Exploring Macroevolutionary Algorithms: Some Extensions and Improvements.- Optimal Scheduling of Multiple Dam System Using Harmony Search Algorithm.- Evolutionary Learning.- CoEvRBFN: An Approach to Solving the Classification Problem with a Hybrid Cooperative-Coevolutive Algorithm.- Particle Swarm Optimisation of Multiple Classifier Systems.- Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems.- Hybrid Evolutionary Algorithm with Product-Unit Neural Networks for Classification.- Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study.- Fuzzy Systems.- Multiresolutive Adaptive PN Acquisition Scheme with a Fuzzy Logic Estimator in Non Selective Fast SNR Variation Environments.- A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.- Assessing Students’ Teamwork Performance by Means of Fuzzy Logic.- Networked Control Based on Fuzzy Logic. An Application to a High-Performance Milling Process.- Efficient Parametric Adjustment of Fuzzy Inference System Using Unconstrained Optimization.- Automatic Selection of Input Variables and Initialization Parameters in an Adaptive Neuro Fuzzy Inference System. Application for Modeling Visual Textures in Digital Images.- Neuroingeniering and Hardware Implementations.- Neural Inspired Architectures for Nanoelectronics.- Defects Tolerant Logic Gates for Unreliable Future Nanotechnologies.- A Programmable Time Event Coded Circuit Block for Reconfigurable Neuromorphic Computing.- Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot.- IAF Neuron Implementation for Mixed-Signal PCNN Hardware.- Statistical Simulations for Exploring Defect Tolerance and Power Consumption for 4 Subthreshold 1-Bit Addition Circuits.- Fuzzy ART Neural Network Parallel Computing on the GPU.- Interconnecting VLSI Spiking Neural Networks Using Isochronous Connections.- A Software Framework for Tuning the Dynamics of Neuromorphic Silicon Towards Biology.- What von Neumann Did Not Say About Multiplexing Beyond Gate Failures—The Gory Details.- Towards a Platform for FPGA Implementation of the MLP Based Back Propagation Algorithm.- Visual Processing Platform Based on Artificial Retinas.- Data Analysis.- Clustering Signals Using Wavelets.- Information-Theoretic Feature Selection for the Classification of Hysteresis Curves.- Consumer Profile Identification and Allocation.- Neural Gas Clustering for Dissimilarity Data with Continuous Prototypes.- Mixing Kohonen Algorithm, Markov Switching Model and Detection of Multiple Change-Points: An Application to Monetary History.- Fuzzy Labeled Self-Organizing Map for Classification of Spectra.- Some Applications of Interval Analysis to Statistical Problems.- Visualizing High-Dimensional Input Data with Growing Self-Organizing Maps.- Auto Adjustable ANN-Based Classification System for Optimal High Dimensional Data Analysis.- Applying Fuzzy Data Mining for Soaring Area Selection.- Advantages of Using Feature Selection Techniques on Steganalysis Schemes.- Signal Processing.- Genetic Algorithm in the Optimization of the Acoustic Attenuation Systems.- Sine Fitting Multiharmonic Algorithms Implemented by Artificial Neural Networks.- Low Complexity MLP-Based Radar Detector: Influence of the Training Algorithm and the MLP Size.- Neural Networks for Defect Detection in Non-destructive Evaluation by Sonic Signals.- Speech Processing.- Validation of an Expressive Speech Corpus by Mapping Automatic Classification to Subjective Evaluation.- Extracting User Preferences by GTM for aiGA Weight Tuning in Unit Selection Text-to-Speech Synthesis.- Image Processing.- Modeling Visual Perception for Image Processing.- Derivation of SOM-Like Rules for Intensity Inhomogeneity Correction in MRI.- Incidence Position Estimation in a PET Detector Using a Discretized Positioning Circuit and Neural Networks.- Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis.- Efficient Facial Expression Recognition for Human Robot Interaction.- Face Recognition with Facial Mask Application and Neural Networks.- Multi-task Implementation for Image Reconstruction of an AER Communication.- Road Sign Recognition Using Spatial Dimension Reduction Methods Based on PCA and SVMs.- Specialized Ensemble of Classifiers for Traffic Sign Recognition.- Traffic Sign Classification by Image Preprocessing and Neural Networks.- Time Series and Prediction.- A Novel 2-D Model Approach for the Prediction of Hourly Solar Radiation.- Classifying Qualitative Time Series with SOM: The Typology of Career Paths in France.- Continuous Ant Colony Optimization in a SVR Urban Traffic Forecasting Model.- Predicting Financial Distress: A Case Study Using Self-organizing Maps.- Kernel Methods Applied to Time Series Forecasting.- Robotics and Planning Motor Control.- Embodying Cognitive Abilities: Categorization.- Behavioral Flexibility: An Emotion Based Approach.- Emerging Behaviors by Learning Joint Coordination in Articulated Mobile Robots.- Collaborative Emergent Navigation Based on Biometric Weighted Shared Control.- Bio-inspired Control Model for Object Manipulation by Humanoid Robots.- Neuronal Architecture for Reactive and Adaptive Navigation of a Mobile Robot.- Learning Autonomous Behaviours for Non-holonomic Vehicles.- Morphological Independence for Landmark Detection in Vision Based SLAM.- Power System Applications.- Self Organizing Map (SOM) Approach for Classification of Mechanical Faults in Induction Motors.- Method for Power System Topology Verification with Use of Radial Basis Function Networks.- Intelligent Detection of Voltage Instability in Power Distribution Systems.- RBF Based Induction Motor Control with a Good Nonlinearity Compensation.- Internet and Web Applications.- Neural Networks for QoS Network Management.- Improvement of Anomaly Intrusion Detection Performance by Indirect Relation for FTP Service.- Combining SVM Classifiers for Email Anti-spam Filtering.- Analyzing a Web-Based Social Network Using Kohonen’s SOM.- Multiple Instance Learning with Genetic Programming for Web Mining.- Biomedical Applications.- Soft Computing Applications to Prognostics and Health Management (PHM): Leveraging Field Data and Domain Knowledge.- Clustering and Visualizing HIV Quasispecies Using Kohonen’s Self-Organizing Maps.- Estimation of the Rate of Detection of Infected Individuals in an Epidemiological Model.- Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces.- Neural Networks and Other Machine Learning Methods in Cancer Research.- Neural Networks and Other Machine Learning Methods in Cancer Research.- Mixture Modeling of DNA Copy Number Amplification Patterns in Cancer.- Towards the Integration of a Bioprofile in Ocular Melanoma.- Independent Component Analysis Applied to Detection of Early Breast Cancer Signs.- A Prototype Integrated Decision Support System for Breast Cancer Oncology.- Early Breast Cancer Prognosis Prediction and Rule Extraction Using a New Constructive Neural Network Algorithm.- Genomics and Metabolomics Research for Brain Tumour Diagnosis Based on Machine Learning.- Neural Network Based Virtual Reality Spaces for Visual Data Mining of Cancer Data: An Unsupervised Perspective.- Hybrid Unsupervised/Supervised Virtual Reality Spaces for Visualizing Cancer Databases: An Evolutionary Computation Approach.- Supervised Neural Gas for Classification of Functional Data and Its Application to the Analysis of Clinical Proteom Spectra.- Assistive Technologies and e-Health.- Intelligent Healthcare Managing: An Assistive Technology Approach.- Design Improvements for Proportional Control of Autonomous Wheelchairs Via 3DOF Orientation Tracker.- The Impact of Cognitive Navigation Assistance on People with Special Needs.- Shared Autonomy in Assistive Technologies.- Augmented Reality Visualization Interface for Biometric Wireless Sensor Networks.- Using CARREL?+? to Increase Availability of Human Organs for Transplantation.- Nature-Inspired Planner Agent for Health Care.- Other Applications.- Optical Devices Diagnosis by Neural Classifier Exploiting Invariant Data Representation and Dimensionality Reduction Ability.- A Connectionist Model of Human Reading.- Discovering Stock Market Trading Rules Using Multi-layer Perceptrons.- Evaluation of Supervised vs. Non Supervised Databases for Hand Geometry Verification.- Perceptive Particle Swarm Optimization: A New Learning Method from Birds Seeking.- A Comparison of Neural Projection Techniques Applied to Intrusion Detection Systems.- Consequences of Data Uncertainty and Data Precision in Artificial Neural Network Sugar Cane Yield Prediction.- Using Simulated Annealing for Optimal Tuning of a PID Controller for Time-Delay Systems. An Application to a High-Performance Drilling Process.