模型預測效能 的英文怎麼說

中文拼音 [móxíngyùcèxiàonéng]
模型預測效能 英文
forecast performance of model
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 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 ...
  • 能 : 能名詞（姓氏） a surname
  • 模型 : 1 （仿製實物） model; pattern 2 （制砂型的工具） mould; pattern3 （模子） model set; mould patter...
  • 預測 : calculate; forecast; prognosis; divine; forecasting; foreshadowing; predetermination
  • 效能 : potency; efficacy; usefulness; effect; efficiency
  1. The author conceptualized and measured the following variables : time perspective ; the coping style ; reduced harm internet use self - efficacy ; positive peer involvement ; moderate parents involvement ; the totality of internet use and the score of functions. after the research used the structure equation model ( sem ) to fit the collected data, the following pathways were demonstrated at the significant level : 1, the time perspective present ( tpp ) piu. 2, tpp abreaction piu

    通過時間透視、應對策略、減少傷害性的網際網路效能感、積極同伴捲入、適度父母捲入、網路（使用）總量、功能分數的界定與測量，該研究使用結構方程模型擬和數據后發現下列路徑對piu具有明顯的預測作用：現在定向piu ；現在定向發泄piu ；現在定向問題解決piu ；現在定向同伴捲入piu ；現在定向同伴捲入功能分數piu ；未來定向問題解決piu ；未來定向父母捲入piu ；未來定向發泄piu 。
  2. Three kind of forecasting model and their application in the system of " air flight scheduling & optimizing management simulator " are presented and evaluated. the result indicates that the method has the good effect in model selection for forecasting of flight segment volume

    同時，針對「航班計劃及其性能優化管理」系統中的三種預測模型進行了實驗，結果表明該方法在航段運量預測模型選擇方面具有較好的效果。
  3. Secondly, introducing the image analyzing technology with reference to the disadvantages of the traditional ferr - graph analysis technology, and with the combination of characteristic parameter optimizing filtration so as to raise a description method of debris micro - morphologic character. thirdly, with the application of mode recognition method, completing the process of debris auto - recognition based on the collected information of the debris configuration characteristics ; and conducting the diagnosis on the aero - engine wear faults according to the theory of particle tribology. fourthly, introducing information fusion technology to solve the problem that a single method can not collect enough fault premonitory information to conduct the wear fault diagnosis, hence to conduct the research and exploration in the field of comprehensive diagnosis on the aero - engine ' s multi - fault premonitory information

    本文的研究工作主要包括以下五個部分：首先，介紹航空發動機常見的磨損故障類型，研究磨損故障的失效機理，分析磨粒的產生機理、分類以及形態特徵：其次，針對傳統鐵譜分析技術的缺點，引入圖像分析技術，再結合特徵參數優化篩選，形成基於圖像的磨粒顯微形態學特徵描述方法：然後，基於提取到的磨粒形態特徵信息，應用模式識別方法完成磨粒自動識別，並根據顆粒摩擦學的基本原理進行航空發動機磨損故障的診斷與定位：再后，鑒于單一方法不能提取足夠的故障徵兆信息進行磨損故障診斷，本文引入信息融合技術，開展航空發動機多故障徵兆信息綜合診斷方法的研究與探索；最後，基於航空發動機滑油光譜分析與鐵譜分析數據，應用時序模型、灰色模型以及組合模型進行磨損故障的預測方法研究。
  4. With the material dynamic constitutive equation including damage and the effect of stain rate the predictable formula about ballistic limit velocity of fiber composite target. secondly based on the damage feature about ceramic / fiber composite target caused by impact load, analysis model about defense performance of ceramic / composite material target is formed and the predictable formula about ballistic limit velocity is also given. lastly using the reflection and projectile theory of stress wave the paper discusses the design of ceramic / composite material target, optimizes the design of double layer ceramic / composite targets, gains optimal coefficient under certain area density and discusses the variety relationship of area density and thickness with optimal coefficient u nder some ballistic limit velocity 3

    首先，分析了纖維類正交鋪層復合靶板在沖擊載荷作用下的損傷破壞機理，結合包含損傷和應變率效應的材料動態本構方程，建立了纖維復合材料板彈道極限速度的預測公式；其次，根據陶瓷/纖維材料復合靶板在沖擊載荷下的破壞特點，建立了陶瓷/復合材料靶板抗彈性能分析模型，給出了彈道極限速度預測公式；最後，利用應力波反射和透射理論討論了陶瓷/復合材料靶板的設計問題，對雙層陶瓷復合靶板的優化設計進行了分析，給出了在一定面密度下的最佳優化系數，討論了一定彈道極限速度下的面密度和厚度隨優化系數的變化關系。
  5. The sensitivity algorithm is a knowledge of research on the affection of parameters varies to system performance. combination with pressing force and infuse time predicted model, by using sensitivity algorithm, the affection of cast temperature, mould temperature and infuse pressure on infuse time is researched deeply, and the affection of cast temperature, infuse time and infuse pressure on the pressing force in the origination stage of extrusion process. the sensitivity analysis has huge instructing significance to the selection of parameters

    靈敏度演算法是分析參數變化對系統性能影響的一種有效工具，所以本文引入靈敏度演算法，結合壓制力和浸滲時間預測模型，深入研究了澆注溫度、模具溫度和浸滲壓力對浸滲時間的影響關系，以及澆注溫度、模具溫度、浸滲時間和浸滲壓力對擠壓過程起始階段壓制力的影響，對于參數的選取，具有一定的指導意義。
  6. Presents the system established by taking variable - speed torque converter with adjustable guide blades as a pilot control unit and forming an open or closed loop feedback control system, and its outstanding advantages, such as high capacity, simplicity, reliability and good transmission efficiency owned by hydrodynamic drive, and the dynamic model developed for variable - speed torque converter with adjustable guide blades by means of theoretical analysis and regression analysis of experimental data, and concluds that the model is sophisticated and simple enough to be used as a tool for design, analysis and computer simulation of a hydrodynamic control system

    以導葉可調式液力變矩器作為控制單元組成的開環或閉環液力控制系統，具有液力傳動裝置能容大、系統簡單可靠、傳動效率較高等顯著的優點.通過理論分析和試驗數據的回歸分析方法建立了導葉可調式液力變矩器的數學模型，模型既簡單，又有足夠的工程應用精度，為液力控制系統的設計、動態分析和性能預測提供了必要的理論基礎
  7. The main achievement of this dissertation are briefly mentioned as follows : 1 account for the present situation of the pavement performance evaluation, expatiate on the connotations advantages and shortages of every existing methods of the pavement performance evaluation methods, and probe into its developing direction about the pavement performance evaluation, those establish a good foundation of new evaluation methods

    、強度系數551與抗滑能力sfc實測數據為基礎進行模型建立，實現了對路面狀況指標pci的預測;依據該方法可以對路面破損進行有針對性的調查，減少調查范圍，節約人力物力，提高工作效率。
  8. In order to make the retailer ' s pricing decision reflect the quality fluctuation of perishable foods, the bundling selling model based on the shelf life for perishable foods was established by taking pasteurized milk as illustration after effectively partitioning customer - groups among the whole market

    摘要為了使零售商的價格決策能反映易腐食品的質量波動，在分析微生物預測模型及有效劃分市場消費群的基礎上，以巴氏奶為例建立了基於貨架期的易腐食品捆綁銷售模型。
  9. We also find that bp neural network model overwhelms logistic regression model in prediction accuracy in sample part and has a accuracy of 95 % one year before financial distress. but bp neural network model have the similarity accuracy in test part with logistic regression model

    比較兩種方法，發現bp神經網路模型對樣本組的預測能力好於logistic回歸模型，且對沈陽市國有企業發生財務困境前一年的預測準確率高達95 % ;但對檢驗組的預測效果同logistic回歸模型相當。
  10. Based on the test data of the crc beams taken from some chemical plants, which were mainly corroded by chloride, a calculation model was derived to calculate the ultimate load bearing capacity of such crc beams. then, bp nn model was built up to predict the ultimate load bearing capacity of crc beams. using such nn model to analyze many groups of test data ( under various corrosion cases ), satisfactory results are achieved

    基於目前較少開展的實際腐蝕環境下鋼筋混凝土構件受力性能的試驗研究，通過引入受腐蝕混凝土和銹蝕鋼筋的損傷因子導出了受氯離子腐蝕鋼筋混凝土構件極限承載力計算模型；建立了bp神經網路模型對受腐蝕鋼筋混凝土梁承載力進行了預測，通過對多組國外試驗研究結果（不同腐蝕作用情況下）的分析均取得了令人滿意的預測結果，並且隨著試驗資料的積累，預測效果可以得到進一步的改善；因此，本文建立的神經網路模型對受腐蝕鋼筋混凝土構件承載力研究是一種十分有效的方法，具有較好的應用前景。
  11. In the first part of this thesis, the effect of nir instrument ' s energy level on the model predictive power was studied with maize sample

    本文第一部分以玉米粉末樣品，用漫反射法測定玉米粗蛋白含量，研究了近紅外儀器能量變化對分析模型預測效果的影響。
  12. In this thesis, the fundamental principle and system constituent of the electronic olfactory system are analyzed and studied ; a set of detection system of gas mixture, combined gas sensor array with artificial neural network pattern recognition technology, is designed and constructed. employing this system, the processing ability and identification results of several preprocessing algorithms and artificial neural network models are compared and analyzed. and finally the following conclusions are arrived : 1 ) gas sensor array coupled with pattern recognition technology has the good ability to identify the gas species and quantify its concentration

    本文分析研究了電子嗅覺系統的基本原理和系統組成，設計構建了一套氣體傳感器陣列和人工神經網路模式識別技術相結合的混合氣體檢測系統，並利用這套系統對目前在電子嗅覺系統中使用較廣泛的幾種信號預處理演算法和人工神經網路模型的處理能力和辨識效果進行了分析和比較，最後得出了以下結論： 1 ）氣體傳感器陣列與模式識別技術相結合能夠很好地分析和辨識混合氣體組份及其濃度。
  13. 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。
  14. 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。
  15. The effectiveness of the proposed multiple linear model predictive control with state estimation is demonstrated through its application to the exothermic chemical reactor, which is a typical nonlinear unstable process

    最後，將所發展的多重模式預測控制技術應用於典型非線性不穩定的化學反應製程控制問題上，以證實其效能。
  16. Deterioration mechanism of the bond property between rusty rebar and corroded concrete was discussed. because that the bond strength between the corroded rebar and concrete is affected by many factors, and the relation between the factors and bond strength are highly nonlinear, to build the any calculation model will be very difficult. bp nn model was built up herein to predict the ultimate bond strength between the rebar and corroded concrete, good results are achieved

    闡明了銹蝕鋼筋與混凝土之間粘結性能的退化機理；鑒于銹蝕鋼筋混凝土之間的粘結性能受到多因素影響，且影響因素集與極限粘結強度之間存在著復雜非線性關系，建立了bp神經網路模型預測銹蝕鋼筋與混凝土之間極限粘結力，取得了較好的預測效果。
  17. For power control of listening users, forward power control method are introduced based on full, multichannel, filtered report, and collision method etc. the full report method has redundancy report information, and its real - time performance is bad, multichannel report is introduced to improve the real - time performance, and filtered report is introduced to eliminate the redundancy information, finally the collision method introduced can not only get higher real - time performance but also diminish the redundancy information ; 2. in order to meet the requirements of making the dynamic simulation of trunking group system, the ms ’ s random move equation is brought forward, the simulation of ms ’ s distribution is done and the integrated channel model are presented ; 3. the smart predicative model of power control is introduced to overcome the delay and track the change of the complicated network, with this model, the power control ‘ s performance is greatly improved

    全匯報方法存在冗餘的匯報信息，而且實時性較差，為了改善實時性提出了多通道的匯報方式，為了改善冗餘匯報而提出了篩選法，最後介紹的碰撞法在減少冗餘信息的同時又提高了實時性;二、為了集群功率控制動態模擬的需要，提出了移動臺的隨機運動方程，進行了有關移動臺的分佈模擬，建立了綜合的通道模型;三、希望克服延時和跟蹤復雜網路環境變化，提出了功率控制的智能預測模型，通過智能預測模型可以改善功率控制的性能，著重介紹了採用神經網路的方法實現智能預測的通用模型，從而跟蹤復雜多變的無線環境，諸如慢衰落及快衰落（包括多徑衰落、多普勒效應所引起的衰落）等網路特徵，達到預測功率需求;四、採用二級正交碼和智能天線（空分多址）的方法進行組內用戶的識別，改進功率控制效果;五、話權用戶的前向和反向功率控制方法;六、對引入gota的cdma系統提出了復合容量表示方法，並作容量分析，探討有關gota系統的qos問題。
  18. This article analyzed the fuzzy nerve network which unifies by the fuzzy reasoning system and the bp nerve network ( fnn ) simulates the ecology economical system the function, and primarily conducted the research by the water environment target to the ecology economy sustainable development target forecast model, carried on the forecast analysis experiment took guangzhou as the example, the analogue result proved this model validity ; thus provides the valuable reference data and the instruction opinion for the city ecology economical system and the social economy system sustainable development

    以模糊推理系統和bp神經網路相結合的模糊神經網路（ fnn ）來模擬生態經濟系統的功能，並以水環境指標為主對生態經濟可持續發展指標預測模型進行了研究，以廣州為例進行預測分析實驗，模擬結果證明了該模型的有效性；為城市生態經濟系統和社會經濟系統的可持續發展提供有價值的參考數據和指導意見。
  19. In 980s, model predictive control received extensive attention of the western researchers for its distinct merits and features and it has been deeply studied from different aspects with many mathematic methods, in the recent years, with the development of many kinds of the control theory, such as intelligent control, pid control, wavelet theory, robust control, and hybrid systems control etc., the theory of model predictive control has also obtained rapid development

    模型預測控制是一種十分有效的優化控制策略，它彌補了現代控制理論解決復雜對象控制問題時所無法避免的不足之處。近年來隨著智能控制、 pid控制、小波理論、魯棒控制、混雜系統控制等理論研究領域的不斷進步，預測控制理論得到了快速的完善和發展。
  20. Based on the heating treatment control system of a spring steel - wire production line in a factory, hubei province, the paper deals with the design of fully automatically monitoring system across its manufacturing process. through research of parameters of temperature control during the period of heating, annealing and tempering in steel wire manufacturing process, the corresponding composite intelligence fuzzy controller is designed. in light with the way of fast heating, a composite intelligent fuzzy controller combined with on - off control & pi control is set up

    本文以湖北某鋼絲繩廠彈簧鋼絲熱處理生產線控制系統為依託，論述了整個生產過程的監控系統的設計，通過對該類鋼絲生產中的快速加熱過程、退火、回火等過程中的溫度控制參數的研究，設計了相應的智能型復合模糊控制器，根據快速加熱過程的實現方式，對于快速反應的被控對象，給出了以模糊控制為基礎的結合開關控制、 pi控制的快速升溫，且不超調的一種智能型復合模糊控制器，對于退火、回火等工藝過程，採用電加熱方式，該類工藝過程作為控制對象屬于具有純滯后的大慣性系統，作者設計出模型預測自適應模糊控制器，並對所設計的控制器進行計算機模擬實驗，取得了滿意的效果。
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