2 . considering plenty the effect factor of reservoir , make a statistics of the log curve response character of reservoir ; establish a suitable recognition pattern of standard reservoir ( 2 )在充分考慮儲(chǔ)層影響因素的情況下,統(tǒng)計(jì)出儲(chǔ)層的測(cè)井曲線響應(yīng)特征,建立適用的標(biāo)準(zhǔn)儲(chǔ)層識(shí)別模式。
This framework is composed by functional unit , and providing flexible interface . it can support various synthesis - advanced service , such as mining patterns , similarly searching in time series and online recognition patterns 該框架模型采用功能模塊化的方式集成,提供各種接日,具有較強(qiáng)的開(kāi)放性;提供了時(shí)間挖掘與相似性查找,在線檢測(cè)等綜合高層服務(wù)功能。
In this paper , the near - infrared spectral measurement and principal component analysis ( pca ) of simulated spilled petroleum samples are made , the princpal component scores are taken as the cluster characteristic variables for making fuzzy clustering , the near infrared spectrometry and pca together with fuzzy clustering method are then used for rapid recognition of simulated spilled oils , and the sample clustering and recognition patterns are established 摘要對(duì)模擬溢油的石油類(lèi)樣品進(jìn)行近紅外光譜檢測(cè)并進(jìn)行了主成分分析,以主成分得分作為聚類(lèi)的特征變量進(jìn)行模糊聚類(lèi),采用近紅外光譜測(cè)量結(jié)合主成分分析和模糊聚類(lèi)法快速識(shí)別模擬溢油種類(lèi),并建立了樣品聚類(lèi)與識(shí)別模型。
It is not only important but also very difficult / this paper analyses the form and the feature and the expression of c language switch structure in executable file . a pattern . language is defined to describe the recognition pattern of switch structure boot . the design principle and the realization method are introduced about the recognition program and the recovery program of switch structure 本文分析了c語(yǔ)言開(kāi)關(guān)結(jié)構(gòu)在可執(zhí)行文件中的形式、特點(diǎn)和表示;定義了一種模式語(yǔ)言,用以描述開(kāi)關(guān)結(jié)構(gòu)引導(dǎo)區(qū)識(shí)別模板;給出了開(kāi)關(guān)結(jié)構(gòu)識(shí)別程序和恢復(fù)程序的設(shè)計(jì)原理及實(shí)現(xiàn)方法。
The main contents of the thesis are shown as follows : presenting fundamental theories of statistic pattern recognition , discussing rgb ( red , green , blue ) color space , ohta color space , hsi ( hue , saturation , intensity ) color space and its converted color space , materials consistency in gray scale and the application in removing foreign bodies in tobacco flows , hence presenting recognition pattern based on " unit recognition " , designing sample machine for this purpose , which consists of material - providing system , optic system , image - grabbing system , real - time intelligent image - processing system and systems of automatically rejecting foreign bodies and self - diagnosis , analyzing and optimizing hard wares , offering concrete designs such as optic system and air - ejector driver circuit , presenting and realizing physical ram 本文的主要內(nèi)容有:統(tǒng)計(jì)模式識(shí)別基礎(chǔ)理論及它們?cè)跓煵莓愇镒R(shí)別中的應(yīng)用;討論了rgb ( red 、 green 、 blue )基礎(chǔ)顏色空間、 ohta顏色空間、 hsi ( hue色調(diào), saturation飽和度, intensity亮度)顏色空間及其變換空間、物料圖像紋理、灰度均勻性等在煙草異物識(shí)別中的應(yīng)用,并在此基礎(chǔ)上提出了"基于判別單元顏色統(tǒng)計(jì)特性"的煙草在線異物識(shí)別模型,設(shè)計(jì)并研制了煙草在線異物實(shí)時(shí)識(shí)別與自動(dòng)剔除系統(tǒng)原理樣機(jī),它由供料系統(tǒng)、光學(xué)系統(tǒng)、圖像數(shù)據(jù)采集系統(tǒng)、實(shí)時(shí)智能圖像處理系統(tǒng)、異物自動(dòng)剔除系統(tǒng)以及自診斷系統(tǒng)等組成。
In this paper , according to the character of the ship power system and device and the factors that affect it ' s capability , such as environment , utilizing the experience of the field expert , and combined with the practice of ship manufacturing and maintenance , the application of various oil monitoring technology , namely oil quality testing , spectrometric oil analysis , ferrography analysis , and particle counting etc , is studied respectively , and the fault recognition pattern is constructed . on the basis of this , according to dempster - shafter evidence theory , the information infusion mode is constructed and the oil monitoring multi - technology system is integrated . at last , colligating the result of the information infusion system and other information of the device , such as primitive data , maintenance records , running condition etc , the oil monitoring system to ship power system & device is realized 本文根據(jù)船舶動(dòng)力裝置與設(shè)備自身的特性以及外部環(huán)境等影響因素,利用領(lǐng)域?qū)<医?jīng)驗(yàn)和相關(guān)的知識(shí),結(jié)合船舶修造和營(yíng)運(yùn)實(shí)際,對(duì)常規(guī)理化性能檢驗(yàn)、油料發(fā)射光譜分析、鐵譜分析以及顆粒計(jì)數(shù)等油液檢測(cè)技術(shù)在船舶中的應(yīng)用進(jìn)行了分別研究,并建立了狀態(tài)識(shí)別模式;在此基礎(chǔ)上,利用d ? s證據(jù)組合理論,建立信息融合模型,集成了油液監(jiān)控多技術(shù)系統(tǒng);最后,綜合多技術(shù)信息融合系統(tǒng)的建議,以及設(shè)備的原始數(shù)據(jù)、維修記錄、運(yùn)行狀態(tài)等信息,實(shí)現(xiàn)了船舶動(dòng)力裝置與設(shè)備油液監(jiān)控系統(tǒng)。