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.
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。
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.
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。
Studies methods of pattern recognition fusing multi feature information in the presence of imprecise knowledge.
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。
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.
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。
Rough sets theory was used widely to artificial intelligence, pattern recognition, data mining and knowledge discovery etc fields.
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。
An approach of computer geometric pattern recognition, which is based on semantic knowledge of an engineering structure sketch, is presented in this paper.
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。
The software integrated most of the modern optimization methods including database search, pattern recognition, artificial intelligence, statistical learning, and domain knowledge.
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。
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。
The knowledge used in this method (called HPIE) is composed of a few kinds of pattern descriptions, from abstract to concrete for information recognition patterns.
将网页信息抽取知识分为若干层，由抽象到具体逐层描述信息识别模式知识。
It also indicates applicability of knowledge-based pattern recognition principles to the design of expert systems in AI.
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。
Present applications of neural network are as follows: pattern-recognition, self-adaptation control, market analysis, decision optimization, prediction analysis, knowledge processing, etc.
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。
A new star pattern recognition algorithm without any apriori attitude knowledge is described.
讨论了一种新的无须任何先验知识的星图识别算法。
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.
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。
Pattern Recognition with Subject Relativity on Forming Tacit knowledge;
分析你收集的信息，来识别模式和见识。
The most important thing here is to understand image processing, it requires a broad level of knowledge including, some math (algrebra, statistics, PDE), dsp, pattern recognition, programming skills…
图象其实就是信号处理，除了本科是学信号的以外，信号与系统、数字信号处理是一定要学好的，那相应的数学方面的概率，多元统计，甚至泛函也要了解。
The most important thing here is to understand image processing, it requires a broad level of knowledge including, some math (algrebra, statistics, PDE), dsp, pattern recognition, programming skills…
图象其实就是信号处理，除了本科是学信号的以外，信号与系统、数字信号处理是一定要学好的，那相应的数学方面的概率，多元统计，甚至泛函也要了解。
应用推荐