interpolation models中文是什么意思

發(fā)音:

中文翻譯
造句

插值模型

model n. 1.模型，雛型；原型；設(shè)計圖；模范；(畫家、雕刻家 ...
interpolation 補(bǔ)入; 插補(bǔ)，插值法; 插補(bǔ)；插入; 插入，內(nèi)插法; 插入法; 插入值; 插值/內(nèi)插; 插值法，插值，內(nèi)插法; 插值算法; 差值; 篡改; 內(nèi)插，插補(bǔ); 內(nèi)插補(bǔ)點; 內(nèi)插法；插值法; 內(nèi)推法; 添改; 添寫
models 模特; 模型
interpolation interpolation 插值
aitken interpolation 艾特肯插值
analog interpolation 模擬內(nèi)插法; 相似內(nèi)插法
analogue interpolation 類比插值法
approximate interpolation 近似內(nèi)插
arithmetical interpolation 插法
audio interpolation 音頻插入質(zhì)量
backward interpolation 后向插值; 向后插值
bicubic interpolation 次插值算法; 雙三次插值
bilinear interpolation 雙線性插值法
biquadratic interpolation 雙二次插值
birkhoff interpolation 伯克霍夫插值
bivariate interpolation 雙變量內(nèi)插(法)
blended interpolation 摻混插值
broadband interpolation 寬頻帶內(nèi)插
circular interpolation 圓弧插補(bǔ); 圓弧插值法
color interpolation 顏色插值。通過一個象素的相鄰顏色來決定它的顏色，或當(dāng)兩象素的顏色值已知時，通過當(dāng)前象素與這兩個象素的距離來決定這個象素的顏色。
constant interpolation 常數(shù)內(nèi)插法
contour interpolation 輪廓內(nèi)插法
cubic interpolation 三次插值/三次內(nèi)插
curve interpolation 曲線內(nèi)插
curvilinear interpolation 曲線內(nèi)插法

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例句與用法

Choice of gps elevation interpolation models based on the grey relating analysis
高程擬合加權(quán)平均函數(shù)模型權(quán)函數(shù)優(yōu)選
The results show that conic interpolation model method is an efficient direct search method . this should be further researched
試驗結(jié)果表明錐函數(shù)插值模型算法是一類有效的直接方法，值得進(jìn)一步研究。
Then , a fractal interpolation model is put forward for the foreign exchange sequencing , and an interpolated iterative algorithm is presented to predict the tendency of the foreign exchange market
文中提出了外匯序列分形插值模型，并構(gòu)造了預(yù)測外匯市場趨勢的插值迭代算法。
The interpolation model of temperature and precipitation of viet nam is built by using different inserting methods according to the elements that reflect the climate in different dimension scales
根據(jù)反映不同空間尺度氣候要素變化規(guī)律，充分考慮輻射、地形等氣候形成因子的影響，采用不同內(nèi)插方法，建立了越南氣溫和降水量插補(bǔ)模型。
This paper presented a technique based on ibr interpolation model and used a two - level buffer architecture . our experiment results showed that the technique was robust and reliable to communication failure
摘要提出了一種可靠的本地客戶端參考圖像緩沖管理算法，該算法基于ibr插值模型，并應(yīng)用了一個雙列的緩沖管理架構(gòu)。文章最后用一個例子顯示了該算法在通訊錯誤情況下可靠性的提高。
In the third chapter , we explore the conic interpolation model ( cim ) , including its origin , improvement contrasted with qim . especially , we give the computing steps and convergent property of the method proposed by ni and hu , because our further research is based on this method
第三章我們介紹了錐模型的起源和算法的發(fā)展過程，并著重對于算法模型的確立，算法的詳細(xì)步驟，算法所具有的優(yōu)勢及存在的問題做了較詳細(xì)的介紹。
This paper mainly concerns the conic interpolation model method for unconstrained optimization and its implementation , the structure of which is organized as follows : firstly , we survey the history of the direct search methods concisely , and summarize the methods that are currently considered to be effective for unconstrained optimization
首先介紹了直接搜索方法的發(fā)展概況，歸納總結(jié)了目前比較有效的各種算法。其次論文對于數(shù)值試驗結(jié)果較好的二次模型插值算法和發(fā)展概況做了概要性的介紹。
Through compare the simulink results of ga - bp interpolation modeling with tradition methods , and compare the interpolation results with tradition method , the method that can improve the precision of numerical control interpolation and can diminish the quantity of calculate and interpolation cycle is been proofed
通過把遺傳-神經(jīng)網(wǎng)絡(luò)插補(bǔ)模型的仿真結(jié)果與傳統(tǒng)方法的訓(xùn)練結(jié)果比較,并且把此種模型用于數(shù)控插補(bǔ)的誤差結(jié)果與傳統(tǒng)的插補(bǔ)算法進(jìn)行比較,得出此插補(bǔ)算法可以使數(shù)控插補(bǔ)精度得以提高,計算量和插補(bǔ)周期變小。
With studying a great deal of data on the medium and long - term rainfall forecasting , auto - regressive model , artificial neural network and shepard interpolation model are used on the annual rainfall forecasting , in order to test if these models fit into the rainfall forecasting . and the result of the rainfall forecasting proves that these models for rainfall forecasting are practical and efficient
作者通過翻閱大量的有關(guān)中長期降雨預(yù)測方面的文獻(xiàn)資料，分別采用了自回歸模型、人工神經(jīng)網(wǎng)絡(luò)模型和shepard插值模型來進(jìn)行年降雨的預(yù)測，以檢驗它們應(yīng)用于年降雨預(yù)測的可行性，本文的年降雨預(yù)測結(jié)果說明了這幾種方法應(yīng)用于年降雨預(yù)測的可行性。
The data used in the risk assessment of regional natural disasters imply the information not only on time but also on space . when the spatial information of the data is incomplete , it is necessary to optimize the data in order to reduce the error of the assessment . in the counterpart of the paper in last issue of the journal the theoretical investigation of the problem was carried out and the imcomplete information occured in risk assessment of regionalnatural disasters were class ifiedinto two types with treatment of interpolation model and correcting model res pectively . the former model is for insufficiency of the data and the later is for the case in which the accuracy of the data is not enough . inthispaper , taking the flood sustained by rural area plant in hunan province as an example , it is explained how to use the models to calculate . the models are examined as well
區(qū)域自然災(zāi)害風(fēng)險評估中所用的數(shù)據(jù)不僅具有時間的意義,而且具有空間的意義,當(dāng)數(shù)據(jù)的空間信息不完備時,需要對其進(jìn)行優(yōu)化處理,以減小風(fēng)險評估的誤差,作者在本刊上一期的一篇文章中已進(jìn)行了這方面的理論探討,將區(qū)域自然災(zāi)害風(fēng)險評估中所遇到的空間不完備信息分為兩類,分別用插補(bǔ)模型和校正模型進(jìn)行了處理,插補(bǔ)模型是針對空間數(shù)據(jù)缺失情況的,而校正模型是針對空間數(shù)據(jù)不符合精度需要情況的,本文以湖南省農(nóng)村種植業(yè)水災(zāi)為例,進(jìn)一步說明如何應(yīng)用這些模型來進(jìn)行計算,并對其進(jìn)行了檢驗

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