regression technique中文是什么意思

發(fā)音:

中文翻譯
造句

回歸技術(shù)

regression n. 1.復(fù)歸，回歸。 2.退步，退化。 3.【天文學(xué)】 ...
technique n. 1.(專(zhuān)門(mén))技術(shù)；(藝術(shù)上的)技巧，技能。 2.手 ...
correlation and regression technique 相關(guān)與回歸技術(shù)
linear regression technique 線(xiàn)性回歸技術(shù)
multiple regression technique 多元回歸方法; 多重回歸法
regression n. 1.復(fù)歸，回歸。 2.退步，退化。 3.【天文學(xué)】退行。 adj. -sive ,-sively adv.
technique n. 1.(專(zhuān)門(mén))技術(shù)；(藝術(shù)上的)技巧，技能。 2.手法〔如畫(huà)法，演奏法等〕。 3.方法。 advanced cinematic technique 高級(jí)電影技巧。 a newly-developed technique 一項(xiàng)新發(fā)展的技能。 a statistic technique 一種統(tǒng)計(jì)方法。
adaptive regression 適應(yīng)退化; 適應(yīng)消退
age regression 返童記憶; 返童現(xiàn)象
analysis of regression 回歸分析
antitonic regression 反序回歸
atel regression 阿蒂爾海退
auxiliary regression 輔助回歸
bayesian regression 貝葉斯回歸
biologic regression 生物學(xué)衰退
classic regression 古典回歸
classical regression 古典回歸
coefficient of regression 回歸系數(shù)
complete regression 完全消退
cox regression cox回歸
curve of regression 回歸線(xiàn)
curvilinear regression 曲線(xiàn)回歸
custatic regression 海退變化
degenerate regression 退化回歸
dummy regression 虛擬回歸

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例句與用法

The determinants and productivity growth are analyzed by using regression techniques for limited dependent variable models with random effects
然后，運(yùn)用虛擬因變量方法分析影響全要素生產(chǎn)率變化的具體因素。
The safe selective regression technique not only guarantees the quality of the project but also reduces the cost and the regression test suite
該技術(shù)在保證軟件質(zhì)量的基礎(chǔ)上有效地降低了測(cè)試花銷(xiāo)，減小了回歸測(cè)試用例集的規(guī)模。
This paper discusses the modem regression techniques used for ordinal data analysis and how to apply them into solving an important sampling problem in consumer confidence index survey
摘要本文討論了對(duì)定序變量進(jìn)行回歸的技術(shù)，并探討了如何用其解決消費(fèi)者信心指數(shù)調(diào)查中抽樣的重要問(wèn)題。
Then it gives some advices about raising the tfp . the dissertation ' s main contribution lies in using malmquist - dea method and regression techniques for limited dependent variable models with random effects
本論文的主要貢獻(xiàn)在于把擴(kuò)展的malmqust dea方法引入交通運(yùn)輸業(yè)并運(yùn)用虛擬因變量回歸模型考察全要素生產(chǎn)率變化的影響因素。
At the same time , the method of creating the test cases of the multilayer functional model is also mentioned . the characteristics and disadvantages of some regression testing techniques are discussed , on which we bring out the safe selective regression technique
在分析并討論了現(xiàn)有軟件回歸測(cè)試技術(shù)特點(diǎn)和存在的問(wèn)題的基礎(chǔ)上，提出了基于多層次功能模型的安全選擇回歸測(cè)試技術(shù)。
The safe selective regression technique based on multilayer functional model was carried out in the project of the china union pay system integration te - sting - the switch subsystem functional testing . it is indicated that the technique is flexible , effective and practicable
最后本文結(jié)合中國(guó)銀聯(lián)信息處理中心系統(tǒng)集成測(cè)試-轉(zhuǎn)接子系統(tǒng)功能測(cè)試測(cè)試實(shí)例，說(shuō)明該技術(shù)是一項(xiàng)靈活有效并且十分實(shí)用的回歸測(cè)試技術(shù)。
Global motion can be modeled by a few parameters will be stated in chapter 2 . in chapter two are given the system structure and key technologies of global estimation and compensation , describing several possible details of each key technology . global motion parameters estimated using regression technique which first estimate the local motion and then uses the local information to find the global motion that minimize the least square error
并重點(diǎn)研究了一種基于回歸分析的圖像全局運(yùn)動(dòng)估計(jì)與補(bǔ)償技術(shù),它首先利用光流場(chǎng)法估計(jì)局部圖像背景點(diǎn)的速度場(chǎng),然后利用魯棒的疊代排除法估計(jì)圖像傳感器的全局運(yùn)動(dòng)模型參數(shù),再利用估計(jì)出來(lái)的全局運(yùn)動(dòng)參數(shù)對(duì)圖像進(jìn)行雙線(xiàn)性?xún)?nèi)插運(yùn)動(dòng)補(bǔ)償。
Today , the third party of software testing is taking part in testing process . as the functional testing is very important for the third part of software testing , and the test for relationship between operations has attached importance , it is practical to investigate the regression technique based on function and operation specifications
現(xiàn)階段，軟件測(cè)試第三方逐漸介入到軟件測(cè)試過(guò)程中，功能測(cè)試是其中一項(xiàng)重要內(nèi)容，而且對(duì)業(yè)務(wù)流程間聯(lián)系的測(cè)試漸漸受到重視，所以基于功能的、同時(shí)考慮業(yè)務(wù)需求的回歸測(cè)試技術(shù)研究具有重要的現(xiàn)實(shí)意義。
Up to now , there are many software regression testing techniques , such as retest all regression technique , random select regression technique , minimization regression technique , data flow regression technique , safe regression technique etc . . however , all these techniques are code - based
到目前為止，已經(jīng)有很多軟件回歸測(cè)試技術(shù)，其中具有代表性的幾種技術(shù)是全部回歸測(cè)試技術(shù)，隨機(jī)選擇回歸測(cè)試技術(shù)，最小化回歸測(cè)試技術(shù)，數(shù)據(jù)流回歸測(cè)試技術(shù)，安全回歸測(cè)試技術(shù)等。
Evidence suggests that the prognostic ability of the new model with high stability , when hidden nodes changing nearby input nodes and training times changing at the certain extent , is significantly better than traditional step wise regression model mainly due to the new model condensing the more forecasting information , properly utilizing the ability of ann self - adaptive learning and nonlinear mapping . but the linear regression technique only selects several predictors by the f value , many predictors information with high relative coefficients is not included . so the new model proposed in this paper is effective and is of a very good prospect in the atmospheric sciences fields
進(jìn)一步深入分析研究發(fā)現(xiàn)，本文提出的這種基于主成分的神經(jīng)網(wǎng)絡(luò)預(yù)報(bào)模型，預(yù)報(bào)精度明顯高于傳統(tǒng)的逐步回歸方法，其主要原因是這種新的預(yù)報(bào)模型集中了眾多預(yù)報(bào)因子的預(yù)報(bào)信息，并有效地利用了人工神經(jīng)網(wǎng)絡(luò)方法的自組織和自適應(yīng)的非線(xiàn)性映射能力；而傳統(tǒng)的逐步回歸方法是一種線(xiàn)性方法，并且逐步回歸方法只是根據(jù)f值大小從眾多預(yù)報(bào)因子中選取幾個(gè)預(yù)報(bào)因子，其余預(yù)報(bào)因子的預(yù)報(bào)信息被舍棄。

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