Self-organizing map networks (SOM Networks) and non-linear mapping (NLM) are two mapping methods full of promise. In our work, a series of explorations for SOM networks and NLM to improve their performances had been implemented.

• 本文对自组织映射网络(SOM)学习算法和非线性映射方法(NLM)进行改进，并进一步提出了保留模式特征的映射算法，应用于高维复杂化学模式识别，获得良好的结果。