Section 1 - Invited Papers -- On Sequential Bayesian Logistic Regression -- Simple Reverberations and the Mind -- Section 2 - Review Papers -- Computational Intelligence in Hydroinformatics: a Review -- Theory, Implementation, and Applications of Support Vector Machines -- Section 3 - Eduardo R. Caianiello Lecture -- Sensitivity Analysis and Learning of Non-Linear Dynamic Systems by Two Dual Signal-Flow-Graph Approaches -- Section 4 - Mathematical Models -- Interval Arithmetic Multilayer Perceptron as Possibility-Necessity Pattern Classifier -- Polynomial Clusterons Exhibit Statistical Estimation Abilities -- The N-SOBoS Model -- A Neural Network Approach to Detect Functional MRI Signal -- Continual Prediction using LSTM with Forget Gates -- Dynamics of On-Line Learning in Radial Basis Function Neural Networks -- Harmony Theory and Binding Problem -- Online Learning with Adaptive Local Step Sizes -- Section 5 - Pattern Recognition and Signal Processing -- A Feed-Forward Neural Network for Robust Segmentation of Color Images -- Parameter Identification using Aspects - Application to the Human Cardiovascular System -- A Neural Network Based ARX Model of Virgo Noise -- Local Wavelet Decomposition and its Application to Face Reconstruction -- A Multilayer Perceptron for Fast Interpolation of JPEG/MPEG Coded Images -- The Automatic Detection of Microcalcification Clusters in the CALMA Project: Status and Perspectives -- Signal Classification by Subspace Neural Networks -- Weightless Neural Networks for Face Recognition -- The Search for Spiculated Lesions in the CALMA Project: Status and Perspectives -- A Novel Wavelet Filtering Method in SAR Image Classification by Neural Networks -- Neural Networks for Spectral Analysis of Unevenly Sampled Data -- Section 6 - Architectures and Algorithms -- Recursive Networks: an Overview of Theoretical Results -- A Persistent and Parallel Approach to Object Oriented ANNs Simulators -- An Experimental Comparison of Three PCA Neural Techniques -- Scale Based Clustering Optimization via Gravitational Law Imitation -- A General Assembly as Implementation of a Hebbian Rule in a Boolean Neural Network -- Training Semiparametric Support Vector Machines -- Building Neural and Logical Networks with Hamming Clustering -- Inferring Understandable Rules through Digital Synthesis -- From Spiking Neurons to Dynamic Perceptrons -- Using the Hermite Regression Algorithm to Improve the Generalization Capability of a Neural Network -- Development of Selectivity Maps in a BCM Network using Various Connectivity Schemes -- An Analog On-chip Learning Architecture Based on Weight Perturbation Algorithm and on Current Mode Translinear Circuits -- Section 7 - Applications -- Gesture Recognition using hybrid SOM/DHMM -- A Fuzzy Neural Network for Urban Environment Monitoring System: the Villa San Giovanni Study Case -- Real Time Neural Network Disruption Prediction in Tokamak Reactors -- On-line Quality Control of DC Permanent Magnet Motor using Neural Networks -- Section 8 - Neural Networks in Economics (Co-chairs S. Giove and M. Salzano) -- Fuzzy Local Algorithms for Time Series Analysis and Forecasting -- Neural Networks Applications in Economics: a Statistical Point of View -- Regional Economic Policy and Computational Economics -- Neural Networks for Economic Forecasting -- A Fuzzy Classification for the Definition of Industrial District -- A Combination of Tools: NLS and NN Estimation of the Expenditure in Durables. Determinants, Trend and Forecasting for the Vehicles Sector -- Estimating the Conditional Mean of a Non-linear Time Series using Neural Networks -- Author Index.