Neural Nets WIRN Vietri-99

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 andAlgorithms.- 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 usingNeural Networks.- Author Index.