
Progress in Neural Networks - Volume 6
Shape recognition
Résumé
synthetic neural networks, as well as reviews state-of-the-art
research in modeling, analysis, design, and development of neural
networks in software and hardware areas. Contributions from leading
researchers and practitioners shape academic and professional
programs in this area, and serve as a platform for detailed and
expanded discussion of topics of interest to the neural network and
cognitive information processing communities. The series will be of
interest to those professionally involved in neural networks
research, such as lecturers and primary investigators in neural
computing, modeling, learning, memory and neurocomputers.
Contents
- Integration of Geometry, Physics, and Qualitative
Techniques for
Shape and Nonrigid Motion - On the Computational Complexity of
Analyzing the Hopfield-Clique Network - Cortical Images,
Self-Organizing Neural Networks, amd Object Classification - Shape
Matching Based on Invariants - A Harmony-Maximization Network
Implementation of a Compound Labelling Scheme for Scene Analysis - Boolean Neural Network Trained With Simulated Annealing
- Parallel
Implementation of a Neural Network Ensemble on the Connection
Machine
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Intellect Books |
Auteur(s) | Omid M. Omidvar |
Parution | 10/05/1999 |
Nb. de pages | 234 |
Format | 18 x 23,5 |
Poids | 500g |
EAN13 | 9781567503289 |
Avantages Eyrolles.com
Consultez aussi
- Les meilleures ventes en Graphisme & Photo
- Les meilleures ventes en Informatique
- Les meilleures ventes en Construction
- Les meilleures ventes en Entreprise & Droit
- Les meilleures ventes en Sciences
- Les meilleures ventes en Littérature
- Les meilleures ventes en Arts & Loisirs
- Les meilleures ventes en Vie pratique
- Les meilleures ventes en Voyage et Tourisme
- Les meilleures ventes en BD et Jeunesse