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A Hopfield Neural Network Algorithm for Automatic Name Placement for Point Feature

A Hopfield Neural Network Algorithm for Automatic Name Placement for Point Feature
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摘要 This paper presents a method of adding label to the map especially for the point feature.This method overcomes the shortcoming of traditional methods,e.g.Conflict-Backtracking method.Its kernel algorithm use the hopfield neural network to find the best label position for point feature.The experimental results proves that this algorithm has good permanence and high speed.
出处 《Geo-Spatial Information Science》 2004年第2期144-147,共4页 地球空间信息科学学报(英文)
基金 Funded by the National Natural Science Foundation of China(No.40001019).
关键词 hopfield neural network energy function map name placement GIS 地图制图 基础数据 比例尺 自动化
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参考文献4

  • 1[1]Hiersch S A (1982) An algorithm for automatic name placement around point data. The American Cartographer, 9(1):5-17
  • 2[2]Zoraster S (1986) Interger programming applied to the map label placement Problem. Cartographica,23(3)16-27
  • 3[3]Mower J E(1993) Automated feature and name placement on parallel computers. Cartography and Geographic Information Systems,20(2):9-82
  • 4[4]Zoraster S (1991) Expert systems and the map label placement problem. Cartographica,28(1):1-9

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