Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization

Selected Model Based Architectures and Algorithms for Learning, Signal Processing and Optimization

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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


Rok wydania2021
KategoriaAutomatyka i robotyka
WydawcaAkademicka Oficyna Wydawnicza EXIT Andrzej Lang
ISBN-13978-83-7837-622-4
Informacja o sprzedawcyePWN sp. z o.o.

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