A neural network algorithm to simplify 2D meshes

In this paper we propose a neural network model to simplify and 2D meshes. This model is based on the Growing Neural Gas model and is able to simplify any mesh with different topologies and sizes. A triangulation process is included with the objective to reconstruct the mesh. This model is applied to some problems related to urban networks.

Urban Planning 2. Informal notes from the course’s practical content (2014-2015)

This document compiles, in an informal manner, the briefs of some of the practical exercises developed during the Urban Planning 2 course. The purpose of this compilation is to serve as reference and basis for future courses.