Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization. Problemy współczesnej informatyki

Spis treści

1. Schur Parametrization and Orthogonal Modeling of p-Stationary Second-Order Stochastic Processes
2. Efficient DOA algorithms using multi-dimensional high-resolution Fourier transform
3. Wireless localization systems
4. Towards generating Palladio performance models from PIM and PSM models
5. Architecture of Dependency-Noise Ensemble for statistic-based diversification of multiple classifier systems
6. Model of active noise reduction system with adaptive filtering algorithms applied to automotive
7. A novel approach to learning and designing neural networks-based ensemble
8. Model based scheduling algorithm for transport and assembly of construction processes
9. Preference falsification: Insights from Monte Carlo simulations of an agent-based model with a Hamiltonian

• Autorzy: Paweł Ksieniewicz, Mariusz Uchroński
• Wydawnictwo Exit
• Seria Problemy współczesnej informatyki
• Oprawa: Miękka
• Rok wydania: 2021
• Ilość stron: 158
• Stan: nowy, pełnowartościowy produkt
• Model: 9788378371175
• Język: angielski
• ISBN: 9788378371175
• EAN: 9788378371175