A neural network algorithm to simplify 2D meshes
| Contribuinte(s) |
Universidad de Alicante. Departamento de Ciencia de la Computación e Inteligencia Artificial Universidad de Alicante. Departamento de Expresión Gráfica y Cartografía Criptología y Seguridad Computacional Arquitectura - Composición Arquitectónica (CA01) Urbanística y Ordenación del Territorio en el Espacio Litoral |
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| Data(s) |
23/11/2012
23/11/2012
2011
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| Resumo |
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. Partially supported by UA grant number GRE10-34. |
| Identificador |
MARTÍNEZ, Francisco-M., et al. "A neural network algorithm to simplify 2D meshes". En: Recent Advances in Computers, Communications, Applied Social Science and Mathematics : Barcelona, Spain, September 15-17, 2011. [S.l.] : WSEAS, 2011. ISBN 978-1-61804-030-5, pp. 110-115 978-1-61804-030-5 |
| Idioma(s) |
eng |
| Publicador |
WSEAS |
| Direitos |
Copyright © 2011 WSEAS info:eu-repo/semantics/openAccess |
| Palavras-Chave | #Neural networks #Self-organizing maps #Mesh simplification #GNG3D algorithm #Triangulations #Ciencia de la Computación e Inteligencia Artificial #Composición Arquitectónica |
| Tipo |
info:eu-repo/semantics/conferenceObject |
