相邻算法具有全局搜索，提取健全模型的特征。
The neighborhood algorithm possesses global search ability and can recover robust models.
相邻算法正是基于以上思想和理论，以及其他非线性方法的实践而提出的一种新的非线性反演方法。
The neighborhood algorithm is new non-linear inversion method proposed based on the above ideas and the practice of other non-linear methods.
第二步，识别阶段，采用了一种亲笔最近相邻算法（HNN）。首先自学习预处理得到的数据，并得到对象的总的特征。再通过HNN算法来识别对象。
The second step (recognition) is achieved by using a holographic nearest-neighbor algorithm (HNN), in which vectors obtained in the preprocessing step are used as inputs to it .
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