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.
将产生式知识表示法和模糊模式识别方法用于晶闸管整流装置内阻测试系统的自检，组成了一个诊断专家系统。
An expert diagnosis system is designed for self checking of the inherent resistance test system of SCR device with representation of production knowledge and fuzzy pattern recognition.
粗糙集理论被广泛应用于人工智能、模式识别、数据挖掘和知识发现等领域。
Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields.
提出了基于工程结构简图语义知识的计算机结构模式识别方法。
An approach of computer geometric pattern recognition, which is based on semantic knowledge of an engineering structure sketch, is presented in this paper.
当前神经网络的主要应用领域有：模式识别、自适应控制、市场分析、决策优化、预测分析、知识处理等。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
该软件集成了模式识别、人工智能、统计学习理论、数据库技术和领域知识等常用的过程工业优化方法。
The software integrated most of the modern optimization methods including database search, pattern recognition, artificial intelligence, statistical learning, and domain knowledge.
它表明基于知识的模式识别的原理可以应用到人工智能专家系统的设计中。
It also indicates applicability of knowledge-based pattern recognition principles to the design of expert systems in AI.
控制器按知识分层实现了暂态逻辑，模式识别和自校正控制。
The controller implemented temporal-logic, pattern-recognized and self-tuning control according to knowledge division level.
目前机助分类技术主要着眼于统计模式识别和基于知识的分类决策。
Now the computer_based classification techniques' study has been focusing on the statistical pattern recognition and the knowledge_based classification rule.
本文以犯罪现场遗留足迹为对象，阐述了图像处理和模式识别的相关知识，实现复杂背景下的对象特征提取。
Taking the tread in alibi as object, this thesis introduces some knowledge about image processing and pattern recognition, and extracts characteristic feature in complex background.
该算法无需提供任何信号调制参数的先验知识，并且在较低的SNR条件下获得很好的调制模式识别效果。
With this method no a-prior knowledge about modulated signal are requested and a comparable good recognition result can be obtained under low SNR environment.
介绍了应用两个模糊神经网络分两步进行电梯群控系统交通模式识别，提出了利用专家知识获取样本和训练网络的步骤。
Traffic pattern recognition method of elevator group control systems is presented. The method consists of two steps, in which fuzzy neural networks are employed.
首先尝试运用数字图像处理与模式识别领域的知识对于视频图像序列进行图像预处理与人脸识别。
Knowledge about digital image processing and pattern recognition is applied to do image preprocessing and face recognition about video image sequences.
首先尝试运用数字图像处理与模式识别领域的知识对于视频图像序列进行图像预处理与人脸识别。
Knowledge about digital image processing and pattern recognition is applied to do image preprocessing and face recognition about video image sequences.
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