Print Email Facebook Twitter A comparison of 3 dimensional acoustic localization methods based on global optimization and neural networks Title A comparison of 3 dimensional acoustic localization methods based on global optimization and neural networks Author Schoorl, Daan (TU Delft Aerospace Engineering) Contributor Snellen, M. (mentor) Simons, D.G. (mentor) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2021-11-23 Abstract The past years there has been a significant increase in the popularity and commercial availability of consumer drones. Subject Acoustic LocalizationNeural networksMicrophone arrayGlobal optimizationDifferential evolutionButterfly optimization algorithm To reference this document use: http://resolver.tudelft.nl/uuid:eb926165-df56-409a-9ecf-ca62781538df Part of collection Student theses Document type master thesis Rights © 2021 Daan Schoorl Files PDF MSc_thesis_Daan_Schoorl_final.pdf 22.27 MB Close viewer /islandora/object/uuid:eb926165-df56-409a-9ecf-ca62781538df/datastream/OBJ/view