時序列分析 的英文怎麼說

中文拼音 [shíxùlièfēnxī]
時序列分析 英文
time series analysis
  • 時 : shí］Ⅰ名1 （比較長的一段時間）time; times; days:當時at that time; in those days; 古時 ancient tim...
  • 列 : Ⅰ動1 （排列） arrange; form a line; line up 2 （安排到某類事物之中） list; enter in a list Ⅱ名詞1...
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 析 : Ⅰ動詞1. （分開; 散開） divide; separate 2. （分析） analyse; dissect; resolve Ⅱ名詞（姓氏） a surname
  1. Based on the characteristic of fractured signal, time series analysis can detect the distribution of fractures. because of excellent antinoise ability, in high - order statistics theory, the theory of time series analysis includes more information and resolves more problems than second - order statistics

    時間序列分析法具有很好的抗噪能力，主要採用了高階統計量的方法，它比以前廣泛應用的二階統計量的方法包含了更多的信息。
  2. Quantitative tools for the examination of paleoceanographic data will be introduced ( statistics, factor analysis, time series analysis, simple climatology )

    將介紹分析古海洋資料的定量工具（統計、因素分析、時間序列分析、簡易氣候學） 。
  3. According to the least twin multiplication to calculating the sensitivity index in several water production functions. thus, the writer obtains the fitted the value of the sensitivity index and the varied rule. at the same time, the writer puts forward a new method named rag a ( real coding based accelerating genetic algorithm ) and combines raga with dpsa to calculating the best irrigation system under the non - sufficient irrigation of well irrigation rice in sanjiang plain

    根據《隨機水文學》理論中的時間序列分析法，建立了適合三江平原井灌水稻需水量預報的非平穩時序隨機模型；通過分析降雨隨機特性，選定季節性時序隨機模型，建立了適合三江平原井灌水稻降雨預報的月平均降雨模型；根據最小二乘法，計算出幾種常用水分生產函數中的敏感指數及敏感系數，進而得到三江平原適宜採用的水分生產函數漠型及模型中敏感指數的變化規律；本文提出遺傳動態規劃法（ raga ? dp ） ，即採用改進的基於實數編碼的加速遺傳演算法（ realcodingbasedacceleratinggeneticalgorithm ，簡稱raga ）與動態規劃法（ dpsa ）相結合，推求非充分灌溉條件下三江平原井灌水稻的最優灌溉制度。
  4. Based on the sequence analysis, the temporal - spatial speciality of osg6b " was then analyzed with transgenic tobacco plants

    在序列分析的基礎上，對os96b 』在轉基因植株中的時空特異性進行了分析。
  5. Unvaried - time series analysis and forecasting is an important portion of current signal process and economics

    一元時間序列分析與預測在現代信號處理和經濟學中佔有重要的地位。
  6. The main research techniques include time series analysis and cross section analysis

    採用的主要實證研究方法有：時間序列分析和橫截面分析。
  7. The amplification system was optimized so that the pcr with different primers can be carried out under the same condition. the pcr products were sequenced using sanger ' s terminator and fluorescent label techniques. sequences were analyzed and compared base on sequencing analysis3. 4 and seq / ede software

    方法根據mtdna控制區及其周圍區域的序列，設計多對引物，探索優化擴增體系，使擴增條件能夠同時滿足多對引物的需要，用sanger末端終止法及熒光標記技術對樣本進行dna測序， sequencinganalysis3 . 4和seq ede軟體進行序列分析和比對。
  8. Part 1 : identification of a novel gene, tsarg2, and its sequence character cloning new apoptosis - related novel gene is a key to further understanding of apoptosis mechanism and the biological process of germ cell, and it is of momentous significance on clarifying physiology and pathology process of spermatogenesis. to rapidly attain human novel gene full - length cdna sequence, the gene - specific primers and the vector - specific primers have been designed for successful performing nested pcr and draft human genome searching to rapidly identify the tsarg2 ( genebank accession number ay040204 ) 5 " end from a human testis cdna library by using a cdna fragment ( genebank accession number be644542 ) as a electronic probe, which was significantly changed in cryptorchidism and represents a novel gene. furthermore, a mouse homologue of this gene was identified ( genebank accession number af395083 ) by lab on - line

    本研究分為三個部分，其主要實驗方法及實驗結果如下：第一章tsarg2基因的克隆與序列分析從已獲得的在隱睪和正常睪丸對照中表達量有明顯差異的est片段（ be644542 ）入手，設計了基因特異性引物和載體特異性引物進行巢式pcr擴增，結合人類基因組草圖搜索法，從睪丸cdna文庫中快速分離出人類睪丸凋亡相關基因的5末端而獲得全長cdna ， genbank登錄號為ay040204 ，同時應用生物信息學的方法克隆了該基因在小鼠中的同源基因， genbank登錄號為af395083 。
  9. Effect and policy experiments statistical modeling of

    -效應的時間序列分析及其政策性實驗
  10. In summer, load is affectd by meteorological elements greatly. based on multidimension time series approach, the car model is constructed, which could take account into the accumalated influence from temperature and inertia action from historic load, meanwhile, the advantage of the model is that its expreaasion is in the form of apparent function, which could provide us some quaqutive imformation existed between input variable and output variable

    本文以多維時間序列分析方法為基礎，成功地解決了未來日負荷與前些日負荷慣性變化的影響，以及氣象累計效應的影響顯性函數關系問題，從而為負荷預測人員掌握未來負荷與歷史負荷，歷史氣象要素與當日氣象條件之間的規律，提供了量化的分析基礎。
  11. Time series analysis of ecological footprint in tieling city

    鐵嶺市生態足跡時間序列分析
  12. Analytic method about chaos time - series in mine geologic structure

    礦井構造系統的混沌時間序列分析
  13. Forecasting for aero - materials ' consumption rate based on time series analysis

    航材消耗的時間序列分析
  14. Study on the prediction of pneumoconiosis by time sequence analysis

    用時間序列分析法進行塵肺流行預測研究
  15. Time series analysis applied in prediction of rmb ' s exchange rate

    時間序列分析方法及人民幣匯率預測的應用研究
  16. The application of time series anlaysis in researching of epidemic disease

    時間序列分析在流行病疫情研究中的應用
  17. A study on statistical theory of social crime and time series analysis

    關于社會犯罪統計理論與時間序列分析的研究
  18. It is important to reduce the value indicators while doing series analysis

    時間序列分析應當重視對價值指標的縮減
  19. Diesel engine fault diagnosis based on bp neural network and time series analysis

    神經網路與時間序列分析的柴油機故障診斷
  20. We choose the forest appearance tidiness, representative stands serving as standard plots, 40 stands were set up at qinling, hanzhong, huanghong in shaanxi respectively, measure every tree in the stands, measure the actual increase by the dominance tree, the time series model of individual age and diameter of quercus variabilis was established according to the actual diameter of quercus variabilis population by the fluctuant time series, the comparison of simulation and reality value of the every stand of quercus variabilis population diameter increase through the four models, the average simulation difference within 1. 5 %, the accuracy is 97. 8 % the simulation effect is better

    在陜西的秦嶺、漢中、黃龍地區選擇林相整齊、有代表性的地段作為標準地，設置樣方40個，對各樣方內的林木進行每木檢尺，通過優勢木解析的方法，測得栓皮櫟種群胸徑的實際生長量，運用起伏型時間序列分析，建立了栓皮櫟種群個體年齡與胸徑生長的時間序列模型，四個模型所得的各個樣地栓皮櫟胸徑生長的模擬值與實際值進行比較，其模擬平均誤差都在1 . 5 %以內，平均精度達到97 . 8 % ，模擬效果較好。
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