E-book: Neural Nets WIRN Vietri-99: Proceedings of the 11th Italian Workshop on Neural Nets, Vietri Sul Mare, Salerno, Italy, 20-22 May 1999

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.