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  • 标题:Hybrid Computing Algorithm in Representing Solid Model
  • 本地全文:下载
  • 作者:Muhammad Matondang ; Habibollah Haron
  • 期刊名称:The International Arab Journal of Information Technology
  • 印刷版ISSN:1683-3198
  • 出版年度:2010
  • 卷号:7
  • 期号:4
  • 出版社:Zarqa Private University
  • 摘要:This paper presents an algorithm, which is a hybrid-computing algorithm in representing solid model. The proposed algorithm ‎contains two steps namely reconstruction and representation. In the reconstruction step, neural network with back propagation ‎has been applied to derive the depth values of solid model that was represented by the given two-Dimensional (2D) line ‎drawing. And then in the representation step, once the depth value was derived, the mathematical modeling was used to ‎generate the mathematical models to represent the reconstructed solid model. The algorithm has been tested on a cube. ‎Totally, there are eighty-three cubes has been used on the development of neural network model and six mathematical ‎equations yielded to represent each one cube. The proposed algorithm successfully takes the advantages of neural network and ‎mathematical modeling in representing solid model. Comparison analysis conducted between the algorithm and skewed ‎symmetry model shows that the algorithm has more advantages in term of the ease of the uses and in simplifying the use of ‎mathematical modeling in representing solid model.‎
  • 关键词:Solid model; reconstruction; representation; neural network; mathematical modeling; and hybrid computing
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