經驗擬合常數 的英文怎麼說

中文拼音 [jīngyànnǐgěchángshǔ]
經驗擬合常數 英文
empirical fit constant
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 擬 : 動詞1. （設計; 起草） draw up; draft 2. （打算; 想要） intend; plan 3. （模仿） imitate
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 經驗 : 1 （由實踐得來的知識或技能） experience 2 （經歷） go through; experience; 經驗教訓 lessons from ...
  1. Second, the starting and stopping behaviors under disturbed condition are analyzed and calculated by using the dynamic concentrative parameter model, which gives some advice to better prescribe refrigeration system and set theoretic foundation for carrying out automatic control of refrigeration system. third, the normal running process is analyzed and calculated by means of rational matching theory, which gives some advice on how to better understand the parameter change under steady state and the affection of inlet - parameter on evaporator. fourth, the simulation software with dynamic characteristic is designed, which can be applied to calculate thernio - parameter of cryogen, air humidity and frost thickness under different initial and boundary conditions, and to carry out dynamic simulation under conditions of dryness, wetness and frostiness, at the same time, to achieve detection and simulation at any stage from starting to stopping

    本文的主要內容如下： 1 ）對翅片管蒸發器結構特點進行分析，選取適當的微元控制體，就干、濕和霜工況下對每個微元分別進行傳熱傳質分析，基於經驗關系式確定霜的有關參數，對于霜工況下的霜生長建立模型，經適當假設，運用質量守恆、能量守恆和動量守恆方程建立適合動態模擬的蒸發器數學模型，為系統模擬奠定基礎； 2 ）對蒸發在大擾動下的開、停機過程，運用動態集中參數模型進行分析和計算，為更好地描述製冷系統運行的全過程奠定基礎，同時也為製冷系統實現自動控制提供一定的理論基礎； 3 ）對蒸發器正常運行過程，運用動態分佈參數和參數間定量耦合的觀點來分析和計算，為更好地了解穩態工況下各點參數的變化情況及各入口參數對蒸發器動態特性的影響即蒸發器性能對各參數變化的敏感性； 4 ）編寫翅片管蒸發器動態特性模擬計算程序，可以計算不同邊界條件和初始條件下的製冷劑熱力參數、空氣溫濕度和霜厚度分佈場，實現對翅片管蒸發器在干、濕和霜工況下的動態模擬。
  2. A general stack equation of mobile robot based on analyzing the motion of planar motion object and the mathematical models of four different kinds of common wheels is developed, accordingly, the mobility of mobile robot is addressed and the forward and inverse solutions to speed for specific configuration driven by differential speed are derived. utilizing the muir and newman convention, the description of the posture transformation matrices between different coordinate frames and the solution for the speed of point located on these frames are introduced. according to posture estimation, a more accurate method, dead reckoning algorithm, is developed for a specified configuration characterized by differential speed motorization, and simulations of this algorithm and other traditional methods are carried out using matlab while traversing a circular path

    本文對兩輪差速驅動移動機器人的運動學及其本體緩沖設計進行了探討，在對平面運動物體運動分析的基礎上結合四種常用車輪的數學模型，推導出了一個通用的移動機器人堆積方程，在此基礎上分析了移動機器人的移動能力、並針對兩輪差速構型推導了速度正解與逆解；使用muir和newman的運動學建模方法，推導了移動機器人上點及連桿坐標系位姿、速度變換關系矩陣及求解方法；在移動機器人位姿識別方法中結合差速驅動構型對航位推演算法進行了分析：推導了一種理論精度較高的航位推算演算法，並使用matlab對其與傳統的推算演算法在跟蹤圓弧軌跡情況下進行了模擬；最後針對本文所研究的機器人給出了一種比較系統、可靠的緩沖結構設計思路，較好地解決了移動機器人作業過程中外界因素及本身設計中引入的各種不確定誤差問題；本論文研究成果已在本實驗室所開發的樣機上得到實現，經過應用與考核證明其中的分析與設計是切實可行的。
  3. The program of data processing in determination of percent released of pharmaceutical preparation was developed ; two modules included in this program are connected but independence each other, one module calculate percent released, one module regress equation ; determination of percent released of pharmaceutical preparation, comparison of released curve in one reference frame and modeling mathematics model were realized by running this program. the program of formulation optimization based on artificial neural network was compiled to solve the nonlinear problem in formulation optimization. provided parameters were used to predict the released amount of a set of formulations

    簡便，其計算結果與現有其他程序計算結果基本一致：開發固體制劑體外溶出試驗數據處理程序，程序運行時分為計算累積釋放百分率和優選最佳數學模型兩個相互連接又各自獨立的環節，實現了累積釋放百分率的自動計算，同一坐標系下釋放曲線的直觀比較，常用數學模型的擬合；開發基於人工神經網路的處方優化系統，解訣處方優化這一多目標、非線性優化問題，利用符合擬合精度的訓練結果預測給定處方的釋放度，預測結果與實驗結果基本相近。
  4. Petri nets can make strict analyze and imitate in system ? dynamic action but there are more nodes in modeling realistic system, it also lack of effective requirement analyze and modeling method theory guide. unified modeling language is a standard modeling language for visual construct software system model. it syncretizes many merits of object - oriented modeling method and language

    Petri網能夠對系統的動態行為進行嚴密的數學分析和模擬，但是利用petri網對實際系統建模時經常出現節點過多的問題，而且缺乏有效的需求分析方法和建模方法論的指導；統一建模語言uml是用於可視化構造軟體系統模型的標準建模語言，融合許多面向對象建模方法和建模語言的優點，可以直觀化地描述用戶需求、系統的靜態特性和動態行為，但對uml描述的系統模型目前缺乏嚴密而有效的驗證方法和分析模擬方法。
  5. Taking erectophile type continuous vegetation as a example, authors had done many monte carlo simulations, and established empirical analytic expressions of radiances with component temperature, soil emissivity and leaf area index. empirical analytic expressions were used to construct objective function and genetic algorithm was employed to synchronously retrieve 5 parameters, such as component temperature, soil emissivity and lai, from thermal infrared 2 channels and 2 angles data. many experiments of genetic algorithm inversion from simulated data were conducted, results show that it is very robust to retrieve component temperature using genetic algorithm ; genetic algorithm can cope with uncertainty inversion problem pretty well if full advantage of priori knowledge was taken. comparison between inversion results and ground - truth data has been done. this paper offers a new example to retrieve component temperature from multi - channel, multi - angle thermal infrared data based on the model of directionality of thermal radiance

    在熱輻射方向性規律的基礎上，以喜直型連續植被為例，進行了大量的monte carlo模擬，建立了輻射亮度和組分溫度植被葉面積指數及土壤比輻射率之間的經驗函數關系。採用遺傳演算法，從熱紅外2個波段2個角度數據中，同時反演混合像元組分溫度土壤比輻射率和葉面積指數等5個參數。通過對模擬的觀測數據進行大量的遺傳演算法反演試驗，結果表明，遺傳演算法反演組分溫度非常穩健，在寬松的先驗知識條件下，遺傳演算法可以解決不確定性反演問題。
  6. And use relative fitting error to measure statistical data non - uniform error ; then introduce the method systematically of using the fuzzy comprehensive evaluation method to carry on the overall superior test of the government statistical data quality. includes the establishment of step level appraisal target system, target weight determination, calculates the factor weight in various levels, uniform test of judgment matrix, and built up the final fuzzy comprehensive evaluation model of the government statistical data quality according to the above - mentioned standard ; finally selects the partial main social economy total quantity target from chinese statistics yearbook 2003 to carry on the real diagnosis analysis : ( 1 ) confirm these social economy total quantity targets using the description statistics and the k - s inspection method to obey the lognormal normal distribution. ( 2 ) according to the two levels of inspection methods which this article proposed to carry on accuracy and the overall superior test for these social economy total quantity targets

    本文首先從統計數據及質量的涵義出發，全面系統的介紹了統計數據質量的概念;其次，從研究統計數據的分佈規律入手，對統計數據準確性檢驗問題進行了探討，利用對數正態分佈檢驗對反映研究對象規模大小的統計數據的質量及異常數據進行定量檢查和識別，並利用相對擬合誤差計量統計數據的非一致性誤差;接著系統介紹了利用模糊綜合評價方法對政府統計數據質量進行整體優度檢驗的思路，具體包括建立遞階層次的評價指標體系，指標權重的確定，計算各層次中因素的權重，判斷矩陣的一致性檢驗，並根據上述標準建立了最終的政府統計數據質量模糊綜合評價模型;然後通過從2003年中國統計年鑒資料中選取部分主要的社會經濟總量指標進行實證分析: （ 1 ）利用描述統計和k - s檢驗法來驗證這些社會經濟總量指標服從對數正態分佈的規律; （ 2 ）按照本文提出的二級檢驗法來對這些社會經濟總量指標進行準確性和整體優度檢驗，從而達到綜合評價政府統計數據質量的目的;最後對這種二級檢驗法的優點和不足進行小結，提出今後應該努力改進的方向。
  7. Abstract : an integrating model combining the artificial neura l network with the linear arx model and its identification method is proposed. based on that model, a multivariable nonlinear predictive control algorithm is persented. the algorithm employs the result of the linear predictive control, obtains explicit nonlinear optimal controlling inputs and doesn " t need on - line numerical optimizing which is necessary in general nonlinear model ( including ann model ) predictive control. that greatly decreases on - line computing consumption, strengthens the reliability of the algorithm and the stability of the system. the simulation results in cstr are shown

    文摘:提出了一種由人工神經網路與線性arx模型相結合的集成模型，給出了其辨識訓練方法.以此模型為基礎，提出了一種多變量非線性預測控制演算法.它利用線性預測控制的成果，得到一解析式的非線性優化控制輸入，避免了通常非線性模型（包括普通人工神經網路模型）預測控制所需的在線數值尋優計算，節約了在線計算時間，提高了演算法的可靠性和穩定性.進一步給出了在cstr反應器上的模擬實驗結果
  8. And based on the intra - nuclear cascade model, the p - seu cross sections of some devices are calculated. after comparison with the result published and experimental data, it showed that it is a very good choice using intra - nuclear cascade model to simulate protons " nuclear reaction. and the result of protons transport is just fitted with the one calculated by lahet ; the p - seu cross sections calculated are in good agreement with the experimental data

    經比較和分析發現，用核內級聯模型模擬質子的核反應，在入射質子的能量很高（ 50mev ）時與文獻和實驗結果吻合得非常好；所計算的高能質子在硅材料中的輸運結果，與lahet程序的計算結果基本符合；所計算的質子在硅器件中的單粒子效應，與文獻和實驗數據符合得非常好。
  9. Smart bit has been studied in this paper considering the false alarm of conventional bit. the fault diagnosis technique of the markov model and information fusion technique based on the artificial neural network have been discussed. the fault detection tests of lvdt sensor are assessed applying the neural network of bp and art - ii, and the validity is proved by the simulated result

    針對常規bit的虛警問題，本文進行了智能bit技術研究，探討了基於馬爾可夫模型的故障診斷技術和基於神經網路的信息融合技術，分別應用bp網路和art - ii型網路對lvdt傳感器進行故障檢測，通過數字模擬驗證了其有效性。
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