地图模式识别是目前制图自动化的一个重点研究方向，利用计算机从扫描地形图上识别和提取地图信息为地图数字化开辟了新的途径。
Map pattern recognition is an important research direction in mapping automation now. Recognizing map information automatically from scanning map by computer carves out a new way for map digital.
基于气敏传感器阵列与模式识别技术的人工嗅觉系统是利用气敏传感器交叉敏感性进行气体识别的重要途径。
The artificial olfactory system based on gas sensitive sensors array and patterns recognition technology is an important method to recognize gases use the cross sensitivity of gas sensitive sensor.
本文试图将神经网络技术与模式识别技术相结合，提出若干行之有效的指纹自动识别新方法，为解决指纹自动识别技术中存在的种种困难找到切实可行的新途径。
In this paper, we try to combine the neural network with pattern recognition and find several new methods in fingerprint automatic identification as the practicable solution to the trouble.
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