multi-linear造句
例句與造句
- Multi - linear ccd array camera for missing distance in intersectant measurement
相機(jī)組合交匯目標(biāo)脫靶量測(cè)量 - Application of particle swarm optimization algorithms in multi - linear regression analysis problem
算法在多元線性回歸分析問題中的應(yīng)用 - Cordially welcome enter to “ time - space variable system multi - linear vector world ” blog
熱誠歡迎您進(jìn)入“時(shí)空可變系多線矢世界”博克！ - Cordially welcome enter to “ time - space variable system multi - linear vector world ” blog
熱誠歡迎您進(jìn)入“時(shí)空可變系多線矢世界”博克！ - This blog is concretely introducing the new physical theory system of “ time - space variable system multi - linear vector world ”
此博克是具體介紹“時(shí)空可變系多線矢世界”這一新的物理理論體系。 - It's difficult to find multi-linear in a sentence. 用multi-linear造句挺難的
- Abstract ： this paper analyzes casualty relation between residence products ' price systems based on the time series data ， calculates residence market products structure ' s diverse influence strength to housing price through building multi - linear regression model based on cross sectional data
本文通過時(shí)間序列數(shù)據(jù)分析住宅產(chǎn)品價(jià)格體系之間的因果關(guān)系，利用截面數(shù)據(jù)建立多元計(jì)量模型量化住宅市場(chǎng)產(chǎn)品結(jié)構(gòu)對(duì)房價(jià)的影響力度。 - Water quantity prediction is the base and premise of water price calculating . this paper uses moving tendency forecasting modeling , gm forecasting modeling and bp neural forecasting modeling to forecast the water requirement of the future , evaluates the forecasting results , and confirms the forecasting results ; the industry water price elasticity index and the resident water price elasticity are calculated with the multi - linear regression method ; the water resources value is evaluated with the marginal opportunity cost method considering the transferring water , other parameters are evaluated and estimated by using some methods of connecting with objective laws and estimation
用水量預(yù)測(cè)是水價(jià)制定的前提和基礎(chǔ)，本文在進(jìn)行水量預(yù)測(cè)時(shí)，采用移動(dòng)平均法、灰色預(yù)測(cè)法和bp神經(jīng)網(wǎng)絡(luò)進(jìn)行預(yù)測(cè)，并對(duì)預(yù)測(cè)結(jié)果進(jìn)行了綜合評(píng)價(jià)，確定出合理的預(yù)測(cè)結(jié)果；采用多元線性回歸方法確定工業(yè)用水價(jià)格彈性和居民生活用水價(jià)格彈性指數(shù)；采用跨流域調(diào)水情況下的邊際機(jī)會(huì)成本方法確定當(dāng)?shù)氐乃Y源價(jià)值；采用主觀判斷和客觀規(guī)律相結(jié)合的方法對(duì)其它一些參數(shù)進(jìn)行了確定。 - Part 4 , we make empirical analysis of financing structure of listed companies among high technology industry . taking information industry that public open in shanghai stock market as example , according to division of financing methods in part3 , this paper makes multi - linear regression of the relations between financing methods and enterprises " performance
第四章是我國高新技術(shù)產(chǎn)業(yè)上市公司融資結(jié)構(gòu)實(shí)證分析，本論文以滬市信息產(chǎn)業(yè)為例，按照第三章融資方式的劃分方法，對(duì)其進(jìn)行了多元線性回歸，分析了各種融資方式與其企業(yè)績效的相關(guān)性。 - The main human driving forces are population growth , industrialization and urbanization , development of the tertiary industry , the mechanism of economic management , social behavior , etc . ( 3 ) quantitative analytical methods such as principal components " analysis , multi - linear regression model , and stepwise regression model etc can be used for analyzing the direction and speed of luc within certain period , and can connect luc with human driving forces very well
影響土地利用變化的主要人類驅(qū)動(dòng)力因素主要有人口增長、工業(yè)化和城鎮(zhèn)化、第三產(chǎn)業(yè)的發(fā)展、經(jīng)濟(jì)管理機(jī)制、社會(huì)行為等。 ( 3 )主成分分析法、多元線性回歸模型、逐步回歸法等定量分析方法可以較好地用來分析在一定時(shí)段內(nèi)土地利用變化的方向和變化速度，能很好地將人類驅(qū)動(dòng)力因素與土地利用變化有機(jī)地聯(lián)系起重慶市不同經(jīng)濟(jì)區(qū)土地利用變化的人類驅(qū)動(dòng)力研究來。 - This paper mainly carries on research into quantity , degree and depth of luc , and landscape change degree in different economic zones of chongqing , comparative study of human driving forces causing different luc from qualitative and quantitative respects in different economic zones of chongqing , further investigation with cultivated land change and construction land change and driving force through analyzing proper human driving forces using principal components " analysis , multi - linear regression model , stepwise regression model , quantitative prediction of cultivated land and construction land in the following 10 years in the sample areas with the help of grey trend prediction model such as gm ( 1 , 1 )
本研究主要進(jìn)行了不同經(jīng)濟(jì)區(qū)土地利用變化數(shù)量、變化程度(速度、速率) 、深度以及景觀變化差異研究；從定性和定量兩個(gè)方面對(duì)引起不同經(jīng)濟(jì)區(qū)樣點(diǎn)土地利用變化差異的人類驅(qū)動(dòng)力進(jìn)行對(duì)比性研究；通過選取適當(dāng)?shù)娜祟愹?qū)動(dòng)力因子，利用主成分分析法、多元線回歸模型、逐步回歸分析法對(duì)人類驅(qū)動(dòng)力所引起的不同經(jīng)濟(jì)區(qū)的耕地、建設(shè)用地的土地利用變化進(jìn)行深入研究；利用灰色動(dòng)態(tài)預(yù)測(cè)模型gm ( 1 ， 1 )對(duì)未來10年內(nèi)樣點(diǎn)區(qū)耕地、建設(shè)用地變化進(jìn)行預(yù)測(cè)性研究。