Neural Nets 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri sul Mare, Italy, May 30-June 1, 2002. Revised Papers

Bibliographic Details
Other Authors: Marinaro, Maria (Editor), Tagliaferri, Roberto (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2002, 2002
Edition:1st ed. 2002
Series:Lecture Notes in Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • Review Papers
  • Ensembles of Learning Machines
  • Eduardo R. Caianiello Lecture
  • Learning Preference Relations from Data
  • Francesco E. Lauria Lecture
  • Increasing the Biological Inspiration of Neural Networks
  • Architectures and Algorithms
  • Hybrid Automatic Trading Systems: Technical Analysis & Group Method of Data Handling
  • Interval TOPSIS for Multicriteria Decision Making
  • A Distributed Algorithm for Max Independent Set Problem Based on Hopfield Networks
  • Extended Random Neural Networks
  • Generalized Independent Component Analysis as Density Estimation
  • Spline Recurrent Neural Networks for Quad-Tree Video Coding
  • MLP Neural Network Implementation on a SIMD Architecture
  • Image and Signal Processing
  • A New Approach to Detection of Muscle Activation by Independent Component Analysis and Wavelet Transform
  • Learning to Balance Upright Posture: What can be Learnt Using Adaptive NN Models?
  • Detection of Facial Features
  • A Two Stage Neural Architecture for Segmentation and Superquadrics Recovery from Range Data
  • Automatic Discrimination of Earthquakes and False Events in Seismological Recording for Volcanic Monitoring
  • A Comparison of Signal Compression Methods by Sparse Solution of Linear Systems
  • Fuzzy Time Series for Forecasting Pollutants Concentration in the Air
  • Real-Time Perceptual Coding of Wideband Speech by Competitive Neural Networks
  • Sound Synthesis by Flexible Activation Function Recurrent Neural Networks
  • Special Session on “Learning in Neural Networks: Limitations and Future Trends” Chaired by Marco Gori
  • Mathematical Modelling of Generalization
  • Structural Complexity and Neural Networks
  • Bayesian Learning Techniques: Application to Neural Networks with Constraints on Weight Space
  • A Short Review of Statistical Learning Theory.-Increasing the Biological Inspiration of Neural Networks