stochastic parameter model 中文意思是什麼

stochastic parameter model 解釋
隨機參數模型
  • stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
  • parameter : n. 1. 【數學】參數，變數；參詞；參項。2. 【物理學】參量；（結晶體的）標軸。3. 〈廢語〉【天文學】通徑。vt. -ize 使參數化。
  • model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
  1. The paper improves the velocity ' s control rules of a first - order microcosmic stochastic traffic cellular automaton model and incorporates it ' s stochasticity as a deceleration parameter in the construction of the fundamental diagram used by a macroscopic first - order continuum traffic model

    摘要本文對微觀一維隨機元胞自動機交通流模型的速度控制規則進行了改進，並將其隨機特性轉化為減速參數合併到宏觀一階連續介質理論交通流模型中，重新構建了反映流量密度的交通流基本圖。
  2. One dimension river flow roughness parameter inverse analysis kalman filter is introduced into the model to solve stochastic error in observed data. applying kalman filter automatism revising system, dynamic roughness course is obtained. using dynamic roughness course the model result precision is improved, it is more consistent with observed data

    對於一維河道糙率參數反分析，針對觀測資料存在的隨機誤差，引進卡爾曼濾波器的自動校正系統，求解出河道糙率變化的動態過程，使用動態糙率計算，明顯改善模型的模擬精度，使模擬過程和觀測過程很好吻合。
  3. According to the demand of the stochastic model of inventory for the single stage, we analyzed modeling methods of multi - stage production / inventory system in hybrid production processes. then we introduced a model of inventory system for multi - stage processes. finally, we introduced an evaluation method for the parameter of the models

    為滿足多階段的混合流程生產系統加工成本最小的要求，論文深入研究了生產系統中，多階段加工情況下成品、在制品和原材料的串列結構庫存管理系統整體優化問題，建立了整體庫存量控制模型，得出了整體庫存的最佳訂貨量和最佳訂貨點。
  4. For the uncertain character of material function, the intensity of spray concrete and concrete lining is uncertain too. it can describe quality character better by probability model and statistic parameter of stochastic variable

    由於材料性能具有不確定性，噴混凝土和二次襯砌的強度亦同樣具有不確定性，一般用隨機變量的概率模型和統計參數來描述，能更好地描述其質量特徵。
  5. Thus, according to mechanics of dealing with stochastic phenomena in programming theory, multi - objective stochastic programming model is developed to dispose parameter uncertainty. as a heuristic monte carlo approach with powerful global searching, genetic algorithm based on stochastic programming is utilized

    為了更好的處理實際生產中參數的不確定性，根據數學規劃論中處理隨機現象的機理，建立多目標隨機規劃模型，模型求解採用基於隨機規劃的遺傳演算法。
  6. Many investigations show that randomicity of structures ? parameter will bring large value of stochastic dynamic response of structures. randomicity of structures ? mechanics parameter may be dominant factors. therefore, introduction of randomicity into system model of structure and using random system model are more reasonable than that of determinate system model

    眾多的研究工作表明，結構參數的隨機變異性可以引起結構隨機動力響應的大幅度漲落，結構力學參數的隨機性還可能成為主導因素，在結構系統模型中引入隨機性的概念，採用隨機結構系統模型是較確定性結構系統模型更為合理的一種選擇。
  7. At first, we design a nonlinear parameterized scheme of planetary albedo, and put forward a multiple - parameter zero - dimensional climatic model on the basis of zero - dimensional energy balance model. using it to qualitatively discuss the impact of earth effective radiance, planetary albedo and atmospheric transmittivity on the climatic system behaviour, and analyze the stochastic process of this system later

    本文首先在零維能量平衡模式基礎上，設計了一種行星反照率的非線性參數化方案，提出了一個多參數非線性零維氣候模式，用於定性地討論說明地面有效輻射率、行星反照率和大氣透明狀況對氣候系統性態行為的影響，最後分析了系統的隨機過程。
  8. First, using the scale - invariant property of multiscale model, i. e. markovian among scales, a method of qth - order tree - based for multiscale representation of a class of 1 - d stochastic process is presented. the multiscale stochastic model is established. the representation forms of parameter matrices, such as, the state transition matrix, the disturbance matrix, the initial state and the corresponding covariance matrix are deduced in detail

    本文在已有工作的基礎上，開展了以下幾個方面的研究工作： 1 、根據多尺度模型尺度不變性，即利用尺度間的markov性，給出了一類1 - d隨機過程基於一般q階樹的多尺度表示方法，建立了相應的多尺度動態模型，詳細推導了多尺度模型中的狀態轉移陣、擾動陣、初始狀態和相應的協方差陣，並通過計算機模擬給出了不同階樹的多尺度采樣路徑。
  9. We introduce a two - dimensional motion model of neural system, fhn neural model. then by using of adiabatic elimination method and the presence of noise, the system becomes a special double singular stochastic system. the effects of parameter, which marks the singular degree of stochastic at singular point, on the phase transition of the fhn model is discussed when is non - integer

    首先介紹了神經系統的二維動力學模型，即fhn模型，接著考慮引入乘性噪聲后， fhn神經模型變為一個特殊的雙奇異隨機系統，研究了該系統的相變情況，同時得出了噪聲強度臨界值的解析表達式，著重分析了噪聲的奇異性標度和噪聲強度對神經細胞內電位的概率分佈以及電位的平均值的影響。
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