proceedings of the 11th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 20-22 May 1999
First Statement of Responsibility
Maria Marinaro and Robert Tagliaferri (eds.) ; [jointly organized by] Società italiana reti neuroniche (SIREN) [and others].
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
London
Name of Publisher, Distributor, etc.
Springer
Date of Publication, Distribution, etc.
1999
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
(x, 430 pages) : illustrations
SERIES
Series Title
Perspectives in neural computing.
CONTENTS NOTE
Text of Note
Section I Invited Papers: 1. On Sequential Bayesian Logistic Regression 2. Simple Reverberations and the Mind --;Section II Review Papers: 1. Computational Intelligence in Hydroinformatics: A Review 2. Theory, Implementation, and Applications of Support Vector Machines --;Section III Eduardo R Caianiello Lecture: Sensitivity Analysis and Learning of Non-Linear Dynamic Systems by Two Dual Signal-Flow-Graph Approaches --;Section IV Mathematical Models: 1. Interval Arithmetic Multilayer Perceptron as Possibility-Necessity Pattern Classifier 2. Polynomial Clusterons Exhibit Statistical Estimation Abilities 3. The N-SOBoS Nodel 4. A Neural Network Approach to Detect Functional MRI Signal 5. Continual Prediction Using LSTM with Forget Gates 6. Dynamics of On-Line Learning in Radial Basis Function Neural Networks 7. Harmony Theory and Binding Problem 8. Online Learning with Adaptive Local Step Sizes --;Section V Pattern Recognition and Signal Processing: 1. A Feed-Forward Neural Network for Robust Segmentation of Color Images 2. Parameter Identification Using Aspects --;Application to the Human Cardiovascular System 3. A Neural Network Based ARX Model of Virgo Noise 4. Local Wavelet Decomposition and its Application to Face Reconstruction 5. A Multilayer Perceptron for Fast Interpolation of JPEG/MPEG Coded Images 6. The Automatic Detection of Microcalcification Clusters in the Calma Project: Status and Perspectives 7. Signal Classification by Subspace Neural Networks 8. Weightless Neural Networks for Face Recognition 9. The Search for Spiculated Lesions in the CALMA Project: Status and Perspectives 10. A Novel Wavelet Filtering Method in SAR Image Classification by Neural Networks 11. Neural Networks for Spectral Analysis of Unevenly Sampled Data --;Section VI Architectures and Algorithms: 1. Recursive Networks: An Overview of Theoretical Results --;2.A Persistent and Parallel Approach to Object Oriented ANNs Simulators --;3. An Experimental Comparison of Three PCA Neural Techniques --;4. Scale Based Clustering Optimization via Gravitational Law Imitation --;5. A General Assembly as Implementation of a Hebbian Rule in a Boolean Neural Network --;6. Training Semiparametric Support Vector Machines --;7. Building Neural and Logical Networks with Hamming Clustering --;8. Inferring Understandable Rules Through Digital Synthesis --;9. From Spiking Neurons to Dynamic Perceptrons --;10. Using the Hermite Regression Algorithm to Improve the Generalization Capability of a Neural Network --;11. Development of Selectivity Maps in a BCM Network Using Various Connectivity Schemes --;12. An Analog On-Chip Learning Architecture Based on Weight Perturbation Algorithm and on Current Mode Translinear Circuits --;Section VII Applications: 1. Gesture Recognition Using Hybrid SOM/DHMM --;2. A Fuzzy Neural Network for Urban Environment Monitoring System: The Villa San Giovanni Study Case --;3. Real Time Neural Network Disruption Prediction in Tokamak Reactors --;4. On-Line Quality Control of DC Permanent Magnet Motor Using Neural Networks --;Section VIII Neural Networks in Economics: 1. Fuzzy Local Algorithms for Time Series Analysis and Forecasting --;2. Neural Networks Applications in Economics: A Statistical Point of View --;3. Regional Economics Policy and Computational Economics --;4. Neural Networks for Economic Forecasting --;5. A Fuzzy Classification for the Definition of Industrial District --;6. A Combination of Tools: NLS and NN Estimation of the Expenditures in Durables: Determinants, Trend and Forecasting for the Vehicles Sector --;7. Estimating the Conditional Mean of a Non-Linear Time Series Using Neural Networks.
SUMMARY OR ABSTRACT
Text of Note
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.
TOPICAL NAME USED AS SUBJECT
Neural networks (Computer science)
Neural networks (Computer science) -- Congresses.
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
87
Book number
M375
1999
PERSONAL NAME - PRIMARY RESPONSIBILITY
Maria Marinaro and Robert Tagliaferri (eds.) ; [jointly organized by] Società italiana reti neuroniche (SIREN) [and others].