Essays about: "training evolution"
Showing result 21 - 25 of 31 essays containing the words training evolution.
-
21. Deep Learning models for turbulent shear flow
University essay from KTH/Numerisk analys, NAAbstract : Deep neural networks trained with spatio-temporal evolution of a dynamical system may be regarded as an empirical alternative to conventional models using differential equations. In this thesis, such deep learning models are constructed for the problem of turbulent shear flow. READ MORE
-
22. Real-time Thermal Flow Predictions for Data Centers : Using the Lattice Boltzmann Method on Graphics Processing Units for Predicting Thermal Flow in Data Centers
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : The purpose of this master thesis is to investigate the usage of the Lattice Boltzmann Method (LBM) of Computational Fluid Dynamics (CFD) for real-time prediction of indoor air flows inside a data center module. Thermal prediction is useful in data centers for evaluating the placement of heat-generating equipment and air conditioning. READ MORE
-
23. Digging deep : A data-driven approach to model reduction in a granular bulldozing scenario
University essay from Umeå universitet/Institutionen för fysikAbstract : The current simulation method for granular dynamics used by the physics engine AGX Dynamics is a nonsmooth variant of the popular Discrete Element Method (DEM). While powerful, there is a need for close to real time simulations of a higher spatial resolution than currently possible. READ MORE
-
24. Optimizing Genetic Training Parameters for Neural Networks in Survival Analysis
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisationAbstract : Artificial neural networks have been used to solve different problems, one being survival analysis of medical data. For survival analysis, the main interest is often how samples become sorted by their outputs, which makes survival analysis a rank based problem. READ MORE
-
25. Development of battery models for on-board health estimation in hybrid vehicles
University essay from KTH/MaterialvetenskapAbstract : Following the positive reception of electric and hybrid transport solutions in the market, manufacturers keep developing their vehicles further, while facing previously undertaken challenges. Knowing the way lithium-ion batteries behave is still one of the key factors for hybrid electric vehicles (HEVs) development, especially for the requirements of the battery management system during their operation. READ MORE