Browsing Faculty of Science and Technology by Subject "particle swarm optimization"
Now showing items 1-4 of 4
-
An Improved Correlation Approach to Predict Viscosity of Crude Oil Systems on the NCS
(Masteroppgave/UIS-TN-IPT/2017;, Master thesis, 2017-06-14)An accurate estimation of viscosity values is imperative for an optimal production and transport design of hydrocarbon fluids. Based on this requirement, cost efficient and reliable empirical correlation models are highly ... -
A LSSVR-PSO machine learning model for the estimation of reservoir porosity from petrophysical well logs
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020-06-10)Reservoir porosity is a key parameter in the reservoir evaluation and geomechanics. To obtain accurate measurement of porosity can be time-consuming and expensive by core sampling or applying various well logging tools. ... -
Particle swarm optimization with soft search space partitioning for video-based markerless 3D human pose tracking
(Masteroppgave/UIS-TN-IDE/2011;, Master thesis, 2012)The task for this master’s thesis was to develop, implement, and evaluate an algorithm for markerless human pose tracking. The algorithm should be based on the freely available HumanEva framework to enable a quantitati ... -
Prediction efficiency of immiscible Water Alternating Gas Performance by LSSVM-PSO algorithms
(Masteroppgave/UIS-TN-IEP/2020;, Master thesis, 2020)In this work the aim is developing LSSVM-PSO model capable of capturing the interplay between the most influential parameters (mechanisms) and recovery factor (RF) of WAG process in layered reservoirs. In a previous work ...