本文系统地研究了基于模式识别知识检测特定类目标、线性体目标和大面积目标变化的变化检测方法。
In this paper, the change detection methods using pattern recognition knowledge for the specific targets, the linear shape targets and the large area targets are discussed.
神经网络可以解决高炉专家系统最困难的知识获取与推理能力弱等问题，并适合于对高炉分布数据进行模式识别。
Neural network can solve some problems of blast furnace expert system such as knowledge getting and inference ability, and it is suitable for pattern recognition of blast furnace data distribution.
研究在有不确定知识的情况下，融合多种类特征信息的模式识别方法。
Studies methods of pattern recognition fusing multi feature information in the presence of imprecise knowledge.
应用推荐