Convolutional neural networks. Can They help us solve pathplanning efficiently?
![Thumbnail](/xmlui/bitstream/handle/10234/195108/TFG_VillarMendez_Jesus.pdf.jpg?sequence=4&isAllowed=y)
Visualitza/
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/158176
comunitat-uji-handle2:10234/71324
comunitat-uji-handle3:10234/169451
comunitat-uji-handle4:
TFG-TFMMetadades
Títol
Convolutional neural networks. Can They help us solve pathplanning efficiently?Autoria
Tutor/Supervisor; Universitat.Departament
Torres Sospedra, JoaquínData de publicació
2021-07-15Editor
Universitat Jaume IResum
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 ... [+]
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. [-]
Paraules clau / Matèries
Descripció
Treball final de Grau en Disseny i Desenvolupament de Videojocs. Codi: VJ1241. Curs acadèmic: 2020/2021
Tipus de document
info:eu-repo/semantics/bachelorThesisDrets d'accés
info:eu-repo/semantics/openAccess