預測效度 的英文怎麼說

中文拼音 [yùcèxiàodù]
預測效度 英文
predictive validation
  • 預 : Ⅰ副詞（預先; 事先） in advance; beforehand Ⅱ動詞（參與） take part in
  • 測 : 動詞1. （測量） survey; fathom; measure 2. （測度; 推測） conjecture; infer
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  1. Quantitative study of predicative validity of nmet

    高考英語試卷預測效度實證研究
  2. It was shown that the dimension analysis was an effective method in simulating the complex laser bending process, and the control model that came from non - dimensional group data of simulations, was a high - accuracy model in predictive analysis

    研究結果表明，利用量綱分析法模擬復雜的激光彎曲過程是簡便有效的，基於模擬模型無因交次群組合的設計相應的參數可使控制模型達到較高的預測精度。
  3. We use neural network model to implement correction part, train it using the samples of history disaster data, and correct the computing result of the former, then get the ideal result, which improves the prognostication precision. the property loss evaluation method targets insurance item as evaluation object. by using the collected data effectively, it builds a model using the method of rbf neural network, and this model is used to evaluate the property loss

    災情修正部分採用神經網路模型，以歷史災情情況為樣本進行訓練，對前面計算的結果進行修正，從而得到理想的結果，使得預測精度進一步提高；財產損失評估方法以保險標的為評估對象，有效利用收集到的信息，運用rbf神經網路方法建立模型並進行財產損失評估。
  4. A group of 4082 high school students from 63 high schools were selected as the subjects for the testing of scale reliability and validity

    （ 2 ）中學生自我調整學習量表對三個效標測驗的同時效度相當理想，對受試者學業成績與教師評定的學習適應分數也有不錯的預測效度。
  5. The wavelet method used in economic forecast depends on its " mathematics microscope " property. it does the layer analysis and forecast to indicators. it can improve forecast precision, what ' s more it can search and express the structural feature of data such as development cycle, second cycle, especially to some sudden change data which will provide effective and reliable warranty to the complexity and violent fluctuant data indicators in enterprise

    基於小波進行經濟預測的方法依靠其「數學顯微鏡」的特性，對待分析的預測指標進行逐層分析和預測，在提高預測精度的基礎上，能對分析數據對象的結構特徵進行挖掘，分析數據特徵如發展主周期、次周期等，尤其對具有突變性質的數據具有很好的表徵分析能力，這對于企業中復雜的變動劇烈的數據指標的預測能提供有效可靠的保證。
  6. 3. a new runoff forecasting model, based on the combination of genetic algorithm and neural network, is proposed, which integrate with the strongpoint of genetic algorithm and neural network. the accuracy and the speed of runoff forecasting are effectively improved that offered a new method for solving runoff forecasting problem

    3 .提出了基於遺傳演算法的神經網路洪水流量的預測模型，該模型綜合遺傳演算法和神經網路的優點，有效地提高了預測精度和速度，為洪水流量預報問題提供了一種新的方法。
  7. The paper analyze many methods of water demand prediction which include many up to date methods and some in common use, and it bring forward some new combinatorial methods which can meet the need of optimization model in precision, such as season exponent, auto adapt filter, season exponent combined grey model, etc. based on the cost and time of modeling jt mainly study the macroscopic network model which describes the correlation between nodal pressures and water plant discharge

    針對時用水量預測模型，採用季節指數法、自適應指數平滑法、季節指數聯合自適應過濾法、指數平滑聯合自回歸法、季節指數聯合灰色系統法等具體預測方法，其中數種方法預測精度達到工程要求。實踐結果表明，開發的聯合法效果較好。考慮到管網宏觀模型不但能描述整個管網的工作狀態，而且建模所需成本低，運行速度快，省時省力，主要研究了管網宏觀模型的建立方法，分析測壓點布置原理並編製程序。
  8. Analysing collected data, finds that chillness - tolerance of females is poorer than that of males, that the predicted effect of thermal sensation is not accurate by predicted mean vote ( pmv ) index, that evaluation on humidity sensation for males and females is almost the same except in a low - temperature environment where females are more sensitive to humidity than males, that draught sensation of females is more obvious than that of males, and that thermal comfort evaluation is affected by more environmental and psychologic factors besides thermal and humidity sensations

    統計分析結果表明，女性的耐寒能力比男性差；預期平均評價pmv指標對男女熱感覺的預測效果較差；男女對濕感覺的評價無較大差異，只在溫度較低時，女性比男性覺得更潮濕；女性的吹風感比男性強；熱舒適評價不僅受熱、濕感覺影響，還受其他環境因素及心理因素的影響。
  9. Predictive validity of competency model of cadets in military academy

    陸軍學院學員勝任特徵模型的預測效度
  10. Thereafter, the fractal dimension value of cracks distribution was presented as an effective index to appraise the corrosion level. relations between fractal dimension and rebar corrosion ratio, concrete deterioration factor and strength of the member were studied respectively. fractal nn model was also built up to predict the ultimate load bearing capacity of crc members obtained from the field corroded structures, good results are achieved, which could provide an applicable method to evaluate the durability of crc members

    揭示出受腐蝕鋼筋混凝土構件在荷載作用下表面裂縫分佈服從統計意義上的分形，並對其進行了分形描述；提出以裂縫分形維數作為受腐蝕程度的有效衡量指標，首次實現了構件受腐蝕程度的定量描述；建立了裂縫分形維數與鋼筋銹蝕率、混凝土劣化系數、構件承載力之間的定量關系，並建立了分形神經網路模型對實際受腐蝕鋼筋混凝土構件進行了極限承載力的預測，取得了較好的預測效果。
  11. Among these numerous prediction methods, bp neutral network methods is considered as the best one and applied prevalently, with high precision, good effect and feasibility. so this study chose bp to predict water demand in tangshan city of the programming year of 2010 year. because the original statistic data of water resources utilizing was about resident living and factory producing, water demand with bp method was just the two

    對幾種典型需水量預測方法進行評析，在眾多預測方法中選擇應用最為廣泛、預測精度高、效果好的bp神經網路法預測規劃水平年2010年城市需水量，由於原始統計數據主要城市生活和工業用水， bp預測的也只是這兩部分用水量，對于農業用水則通過灌溉用水定額和灌溉面積計算，生態環境用水則是類比調查確定。
  12. At this condition, we find the system of declaration of financial forecast information has available function on increasing market validity. in contrast with the successful experience of the west, we also find the profits forecast system in china is a bold innovation, which took the form of by force and by free will, emphasizing by force. it will be very useful in cultivating a perfect system of financial information ' s creation, declaration and audit

    在我國目前上市公司盈利預測完成率很低的情況下，比照西方資本市場發達國家的成功經驗，並結合我國現階段資本市場和上市公司的現狀，首先應該看到預測性財務信息公開披露制度對提高市場有效性的積極作用，在我國大膽推行強制性與自願性相結合、側重於強制性披露的財務預測制度，建立健全一整套有關上市公司預測性財務信息生成、披露和審核的規范體系。
  13. Synthetic forecast indicator is more complicate than single indicator. the effective combination of wavelet and nn can increase the forecast precision and provide the guidance to the

    綜合預測指標具有比單指標更加復雜化的特徵，通過小波方法和神經網路方法的有效組合，可以提高對綜合指標的預測精度，從而為企業決策提供很好的指導作用。
  14. Simulation results show that : the two prediction model and the method to detached the epileptic waves by using the wavelet transform is effective. especially, the prediction precision of eeg signal is higher than 10 - 3 using the three - order volterra series filter

    數值模擬結果表明，本文所研究的兩個預測模型以及棘波的小波變換檢測方法是很有效的，特別是三階volterra級數濾波器預測模型，它對腦電（ eeg ）信號的預測精度可以達到10 ~ （ - 3 ）數量級。
  15. Campared with statistical analyze, it is shown that, the network structure and network output after trained rbfnn using improved rols is more reasonable than k - mean algrithm, and the control model has the property of self _ learning, self _ organization and self _ adaptive, and the control precision can be more than 90 %. on the other hand, this paper also shows that, rbfnn model can control the desulfuration process on the whole in time, and the prediction result using rbfnn model is better than statistical analyze method

    同統計分析結果比較，得出以下結論：利用改進rols演算法訓練rbf網路比k -均值演算法能夠得到更加合理的網路結構和網路輸出；利用rbfnn所建立的脫硫智能控制模型具有自學習性、自組織性和自適應性，其控制精度達到90 %以上； rbf神經網路模型基本可以對脫硫過程進行及時控制；基於rbfnn模型的預測效果優于傳統的統計分析結果。
  16. O ) has the advantage of overcoming the limitation of linear tren li1 city water demand and the variety of calculate value of 1ongtfor forecasting. based on it, nonlincar chan8e in sinlulating value is ptheented and higher simulating prpeision as well as bethe prediction effect can be attained

    其中gm （ 1 ， 1 ， ）法較好的克服了需水量變化呈線性和長期預測計算值發散性的局限，使擬合值的變化呈非線性，從而取得較高的擬合精度和預測效果。
  17. A three - layer bp network structure is built up on the base of detailed analysis of influence factors of cup ' s limiting drawing rate in the article. use this ann model, better forecasting effect has been got, and the network has a higher precision, is satisfied with engineering design requirement

    本文在對筒形件極限拉深系數影響因素的詳盡分析基礎上建立了一個三層的bp神經網路，運用該網路模型得到了較好的預測效果，具有較高的精度，足以滿足工程設計計算要求。
  18. The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect

    尤其是改進的神經網路分段預測模型具有網路結構簡化、收斂速度快，泛化能力強的特點，取得很好的擬合精度和預測效果。
  19. Generally speaking, if the fitted results are not satisfactory for binary systems, the prediction is also bad for multi - component systems that include the binary ones, and the more the temperatures at which the multi - component system is predicted are close to that of the binary systems, the better the predicted results with wilson equation

    若對二元系的擬合效果較差，則對包含該二元系的多元系的預測效果也不是很理想。同時，對多元系的預測還受到溫度的影響，一般來說，多元系的預測溫度與用於擬合參數的二元系的溫度越接近，則wilson方程的預測效果越好。
  20. Finally, on the basis of the study above, referring to the early - warning model in other fields, we constructed an early - warning model of anti - dumping by ec against china. the model included three aspects : i to establish the guideline system of the early - warning model ; ii to generate a statistic model with a significant test ; illto form a predictable model of anti - dumping, by which the anti - dumping trend will be revealed and alert will be sound when any unusual changes occurred

    該系統包括三個方面的內容： 1 ）反傾銷預警指標體系框架的構建； 2 ）根據歷史數據，建立統計預警模型並進行預警有效性檢驗； 3 ）根據理論預警模型，在統計預警模型的基礎上建立反傾銷預測模型，一方面通過回歸分析預測反傾銷趨勢，另一方面利用統計預警模型預測警度，在發生異常變動時發出警報。
分享友人
分享到 Line

分享到臉書