partition process造句
例句與造句
- partition processing destination editor advanced page
分區(qū)處理目標(biāo)編輯器（“高級”頁） - partition processing destination editor mappings page
分區(qū)處理目標(biāo)編輯器（“映射”頁） - configuring the partition processing destination
配置分區(qū)處理目標(biāo) - the partition processing destination includes the following features
分區(qū)處理目標(biāo)包含下列功能： - partition processing destination adapter
分區(qū)處理目標(biāo)適配器 - It's difficult to find partition process in a sentence. 用partition process造句挺難的
- partition processing destination editor connection manager page
分區(qū)處理目標(biāo)編輯器（“連接管理器”頁） - auto parallel partition processing
自動并行分區(qū)處理 - partition processing destination
>分區(qū)處理目標(biāo) - after the partitioning process, any new projects added to the solution are reverse-engineered on the application diagram, if appropriate
完成劃分過程后，如果適當(dāng)?shù)脑挘瑢⒃趹?yīng)用程序關(guān)系圖上對所有添加到解決方案中的新項(xiàng)目進(jìn)行反向工程。 - photooxidation process of volatile organic compounds and gas / particle partitioning process of their photooxidation products are very important on formation of secondary organic aerosols
揮發(fā)性有機(jī)化合物的光氧化過程和光氧化產(chǎn)物的氣態(tài)粒子態(tài)均分過程是二次有機(jī)氣溶膠形成的重要原因。 - photooxidation process of volatile organic compounds and gas / particle partitioning process of their photooxidation products are very important on formation of secondary organic aerosols
摘要揮發(fā)性有機(jī)化合物的光氧化過程和光氧化產(chǎn)物的氣態(tài)粒子態(tài)均分過程是二次有機(jī)氣溶膠形成的重要原因。 - data mining model training, data mining query, partition processing, and dimension processing destinations, for working with analytic objects such as mining models, cubes, and dimensions
數(shù)據(jù)挖掘模型定型、數(shù)據(jù)挖掘查詢、分區(qū)處理和維度處理目標(biāo)，用于處理分析對象，如挖掘模型、多維數(shù)據(jù)集和維度。 - the partition processing destination uses an analysis services connection manager to connect to the analysis services project or the instance of analysis services that contains the cubes and partitions the destination processes
分區(qū)處理目標(biāo)使用analysisservices連接管理器連接到analysisservices項(xiàng)目或包含目標(biāo)所處理的多維數(shù)據(jù)集和分區(qū)的analysisservices實(shí)例。 - the important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn's study algorithm ( fkn, fuzzy kohonen network )-the organic fusion of the fuzzy c-means algorithm and self-organized feature map neural network . the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company . finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained
數(shù)據(jù)挖掘技術(shù)在商業(yè)領(lǐng)域中已廣泛使用，然而在工業(yè)過程控制中的應(yīng)用卻極少，本文正是在這種背景下，對數(shù)據(jù)挖掘中的聚類分析方法及其在工業(yè)過程控制中的應(yīng)用研究作了償試，重點(diǎn)研究了基于統(tǒng)計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網(wǎng)絡(luò)(fkn)的結(jié)構(gòu)與學(xué)習(xí)算法，即模糊c??均值算法與自組織特征映射神經(jīng)網(wǎng)絡(luò)(kohonen網(wǎng)絡(luò))的有機(jī)融合，并根據(jù)硬分類思想及軟分類思想提出了改進(jìn)的模糊kohonen網(wǎng)絡(luò)(ifkn)，通過matlab編程對人工合成控制時序圖數(shù)據(jù)集進(jìn)行聚類分析，其聚類效果與當(dāng)今廣泛使用的數(shù)掘挖掘軟件平臺，德國mit公司著名的dataengine智能數(shù)據(jù)分析和數(shù)掘挖掘軟件的聚類效果相當(dāng)，最后，論述了聚類分析在控制中的應(yīng)用，它可以用于過程控制中的參數(shù)變化趨勢的模式識別及圖象分割處理等具體應(yīng)用中，并以貴州鋁廠熟料燒結(jié)回轉(zhuǎn)窯自動控制系統(tǒng)為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。