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Convolutional neural networks. Can They help us solve pathplanning efficiently?
dc.contributor.author | Villar Méndez, Jesús | |
dc.contributor.other | Torres Sospedra, Joaquín | |
dc.date.accessioned | 2021-10-20T10:06:21Z | |
dc.date.available | 2021-10-20T10:06:21Z | |
dc.date.issued | 2021-07-15 | |
dc.identifier.uri | http://hdl.handle.net/10234/195108 | |
dc.description | Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2020/2021 | ca_CA |
dc.description.abstract | This document presents the project report of the Video Games Design and Development Degree Final project by Jesús Villar Méndez. It consists on an HTML5 and Javascript program that allows the user to solve randomly generated maps of islands using a pathplanning algorithm to solve them and a pix2pix neural network that has been trained with the data set generated by the program. The program also allows file imports in order to train more specific cases and a download function. Besides that, the project also integrates some CSS style modifications that provides a better looking result and makes the user experience far more pleasant. | ca_CA |
dc.format.extent | 68 p. | ca_CA |
dc.format.mimetype | application/pdf | ca_CA |
dc.language.iso | eng | ca_CA |
dc.publisher | Universitat Jaume I | ca_CA |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | ca_CA |
dc.subject | Grau en Disseny i Desenvolupament de Videojocs | ca_CA |
dc.subject | Grado en Diseño y Desarrollo de Videojuegos | ca_CA |
dc.subject | Bachelor's Degree in Video Game Design and Development | ca_CA |
dc.title | Convolutional neural networks. Can They help us solve pathplanning efficiently? | ca_CA |
dc.type | info:eu-repo/semantics/bachelorThesis | ca_CA |
dc.educationLevel | Estudios de Grado | ca_CA |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | ca_CA |
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