A Hopfield Nerual Network Algorithm of Finding the Best Position for Point Annotation of Map

This paper presents a method of adding annotation to the map especially for the point feature.This method overcomes the shortcoming of traditional methods e.g.Conflict Tracebacking method.It's kernel algorithm that use the Hopfileld neural network to find the best position of feature annotation.The experimental results of running in HP workstation prove that this algorithm has a fairy permanence and high speed.