Neural Nets 13th Italian Workshop on Neural Nets, WIRN VIETRI 2002, Vietri sul Mare, Italy, May 30-June 1, 2002. Revised Papers /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2002.
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Έκδοση: | 1st ed. 2002. |
Σειρά: | Lecture Notes in Computer Science,
2486 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.