Print Email Facebook Twitter Loudspeaker filter optimization with AI Title Loudspeaker filter optimization with AI: Electrical circuit representation, mutation and analysis for AI Author Barendse, ZOYLA (TU Delft Electrical Engineering, Mathematics and Computer Science) van Overbeeke, Willem (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Janssen, G.J.M. (mentor) Cotofana, S.D. (graduation committee) Joseph, G. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering Project Bachelor Graduation Project Date 2023-06-27 Abstract This paper reports the design of a part of a genetic algorithm, which is made to design analog filters for loudspeakers. The part in this report is the part which deals with the representation of electrical filter circuits, the mutation of these filters, and finding their transfer function. The considered representations are graph coding and a tree data structure. They are compared on intuitiveness, how well mutations can be performed, and the complexity of calculating the transfer function. The tree structure is reasoned to be the most suitable. Described is which mutations can be performed on a filter by the final program, as well as how embryo circuits are made, how the transfer function is calculated, and which hyperparameters were designed and how they were set. Finally, the design is implemented using Python and the operations are tested. Subject Artificial IntelligenceGenetic Algorithm - GATree structureFilteranalog circuit designLoudspeaker To reference this document use: http://resolver.tudelft.nl/uuid:1dd6288c-45b5-4f57-bdec-fbb8c827ee79 Part of collection Student theses Document type bachelor thesis Rights © 2023 ZOYLA Barendse, Willem van Overbeeke Files PDF EE_BSc_Thesis_Willem_van_ ... rendse.pdf 3.73 MB Close viewer /islandora/object/uuid:1dd6288c-45b5-4f57-bdec-fbb8c827ee79/datastream/OBJ/view