模式识别程序 meaning in Chinese
pattern recognition program
Examples
- 5 . the program of the image processing , feature detection and pattern recognition are programmed with visual c + + 6 . 0
5 、基于面向对象的思想，利用visualc + + 6 . 0编写了图像处理、特征提取及模式识别程序，实现了对目标图像的识别。 - The paper gathered deep layers well logging materiak record well materiak core and cutting material of 27 wells in the daqing district , recognized the different type of igneous rock according to their log response feature , and made a large number of cross plot , then carefully chose several of them which works better igneous rock lithology recognition . made pattern recognition procedure using computer to recognize lithology , synthetical many logging parameter to identify igneous rock lithology . and then on the basis of recognizing lithology , the paper analyzed the lithofacies recognition law in this district
文中采集了大庆地区27口井的深层测井资料、录井资料、岩心和岩屑资料，根据火成岩的测井响应特征识别不同类型的火成岩，并做了大量交会图，精选了几种识别火成岩岩性效果较好的交汇图版，编制计算机识别岩性的模式识别程序，综合多个测井参数识别火成岩岩性，并在识别岩性的基础上，进一步分析本地区岩相的识别规律，最后结合试油资料，分析本地区火成岩储集空间的特点及油气与火成岩岩性和岩相的关系。 - Their pd signals are measured and measured cables are anatomized to observe their discharging trace . implement of picking - up character and mode classifying are introduced , and expatiate the principle of artificial neural networks . soft program is necessary to pick - up the character of pd signals and classify pd mode
论文介绍了由特征量提取器和模式识别分类器两大模块构成的模式识别系统，阐述了人工神经网络的模式识别原理，本文一方面采用信号的prpd模式的放电次数和统计算子作为bpnn的输入信号，设计了相应的bpnn模式识别程序；另一方面采用prpd模式的统计算子作为sart人工神经网络的输入，设计了相应的sart神经网络模式识别程序。 - Operator on prpd mode of pd signal , mode - classifying implements based on bpnn and sart are compiled . the artificial neural networks designed are applied to recognize measured signals . conclusions are made : recognition rate of bpnn is 95 % , and it is respect to magnitude of discharging signal and increases while signal magnitude increasing ; the recognition rate of sart neural network is 98 % , higher than that of bpnn , recognition rate increasing with the number of signal group
论文用设计的人工网络模式识别程序识别测量信号：以prpd信号模式的放电次数为输入时， bp网络识别率为88 ，识别率和发生局放的强弱程度有关，局放信号越强，识别率越高；以prpd信号模式的统计算子为输入时， bp网络识别率为95 ；以prpd信号模式的统计算子为输入时， sart网络识别率为98 ，识别率随着样本量的增加而提高。