From its early beginnings in the fifties and sixties, the field of neural networks has been steadily developing to become one of the most interdisciplinary areas of research within computer science. This volume contains a selection of papers from WIRN Vietri-99, the 11th Italian Workshop on Neural Nets. This annual event, sponsored, amongst others, by the IEEE Neural Networks Council and the INNS/SIG Italy, brings together the best of research from all over the world. The papers cover a range of topics within neural networks, including pattern recognition, signal and image processing, mathematical models, neuro-fuzzy models and economics applications.

Inhalt
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.