stochastic dynamic model 中文意思是什麼

stochastic dynamic model 解釋
隨機動態模型
  • stochastic : adj. 1. 機會的；有可能性的;隨便的。2. 【數學】隨機的。
  • dynamic : adj 1 動力的，動力學的；力學（上）的；動（態）的；起動的。2 有力的，有生氣的；能動的；（工作）效...
  • 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. A river quality management model is proposed for the optimal waste load allocation in a tidal river basin, taking into account the impacts of stochastic pollutant discharge and dynamic hydrological conditions on water quality during a tidal cycle

    摘要考慮污染源強隨機變化和感潮河流潮周期內動態水文條件對水質的影響，建立了優化污染負荷分配的流域水質管理模型。
  2. A dynamic input - output model with random consumption vector s ( t, ), random consumption coefficient matrix and random investment coefficient matrix which the time lag is one has been discussed. by means of modern stochastic analysis and markov process, it has been proved that the random dynamic input - output model does not have a balanced growth solution

    對具有隨機消費向量s （ t ， ） ，隨機投入產出消耗系數矩陣、隨機投資系數矩陣的動態模型，利用現代概率分析、馬氏過程等工具，證明了其經濟穩定增長解不存在的結論
  3. In this thesis improved algorithms are presented as follows : ( 1 ) an algorithm based on the detection of arithmetical series is presented to deinterleave radar signals with stagger pris, especially to those with high order stagger ones. but this algorithm is limited to the model of stagger pri presented by resnick ; ( 2 ) an algorithm is presented to estimate the pris of radar signals with jittered pris based on stochastic dynamic - linear models. this algorithm fits radar signals with jittered pris well, especially when jittered amount is large

    針對這種情況，本文提出了以下改進的重頻分選演算法： （ 1 ）針對參差pri脈沖列提出一種重頻分選演算法，該演算法使用等差數列的檢測進行參差鑒別，非常適于對高參差雷達脈沖列的分選，但只局限於雷斯尼克提出的參差模型； （ 2 ）針對抖動pri脈沖列提出基於動態線性模型的重頻分選演算法，非常適用於抖動量較大的情況。
  4. 3. the crane load and fatigue strength are regarded as stochastic process, the fatigue dynamic reliability based on limit stress model and fatigue dynamic reliability based on accumulation damage model are established on the base of statistic analysis the fatigue load and resistance

    3 、在對疲勞荷載與抗力統計分析的基礎上，視吊車荷載與疲勞強度為隨機過程，建立了基於極限應力模式的疲勞動態可靠性分析模型及基於累積損傷模型的疲勞動態可靠性分析模型。
  5. It also studies the problem of real option pricing when the underlying assets follow the pure jump poisson, mixed jump - diffusion merton and mean - reversion model, and obtains the price formula or partial differential equation to price and hedge the real option. when the value of real option can not separate from the value of project, or the uncertainties are endogenous to real option holder, it is difficult to pricing the real option by the ways of no - arbitrage. in this paper we present a approach named valuation with comparison, its basic point is to value the project or program with flexibility by means of decision tree analysis ( dta ) and stochastic dynamic programming ( sdp ), and the results are compared with that of non - flexibility, finally,

    當實物期權的價值不能從項目價值中分離出來，或者影響基本資產價格的不確定性內生於期權的持有者時，此時實物期權的價值一般難以直接利用無套利方法得到，本文通過對現有文獻進行歸納，提出一種比較定價法，其基本要點是利用決策樹、動態規劃法或二叉樹模型等技術來確定嵌有柔性的項目或方案的價值，然後將其與沒有柔性的項目或方案進行比較，從而獲得各種柔性的價值，作為這種方法的一個應用，本文研究了柔性勞動合約的設計與定價問題，研究表明，對企業重要員工採用長期勞動合約，而對一般員工採用短期合約可以節約勞動力使用成本。
  6. The main purpose of this dissertation is to establish the deterministic and the stochastic model of minimum weight of the structure, and the optimization is based on the structural dynamic response reliability. the dynamic response of the structure under stationary or non - stationary excitations is investigated, then the dynamic reliability is calculated and the design variables of the structures are optimized

    本文重點建立了基於動力響應可靠性的結構優化設計最小重量的確定性和隨機性模型，研究了結構系統在平穩或非平穩隨機激勵作用下的隨機動力響應，並在此基礎上進行了結構動力可靠性計算和優化設計。
  7. Applying stochastic control principle and a dynamic inventory model of supply chain with multi - distributed center based on literature ( superscript [ 1 ] ), the bullwhip effect is restrained by taking the order as control variable

    本文採用隨機控制理論方法，針對在文[ 1 ]基礎上建立的具有多分銷中心的供應鏈動態庫存模型，以供應鏈系統中的訂貨作為控制變量抑制牛鞭效應。
  8. 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。
  9. The confirmation of stock in the dynamic and stochastic production function model

    動態隨機生產函數模型中庫存量的確定
  10. In this paper, first, i present a new model of vrp and a heuristic algorithm of it. then, i have proofed that on the distance constrained vrp, any polynomial time heuristic h for mv, we have kh / kv > 2 ; and i give a dynamic programming recursion heuristic of md. furthermore, i study some stochastic vehicle routing problem also

    並證明了在距離約束的vrp情形下對于目標函數mv （車輛數最小） ，其任一有多項式時間的啟發式演算法h得到的車輛數目k ~ h和最優車輛數目k ~ v滿足關系k ~ h k ~ v 2 ，我們還給出了md （總距離最小）的一個動態規劃演算法。
  11. 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。
  12. Thus, it is very necessary to built multiscale dynamic model based on pyramidally organized trees for stochastic processes

    因此，為更好地表徵這些現象或過程的本質特性，建立起現象或過程基於樹狀結構多尺度動態模型是十分必要的。
  13. The stochastic structure and stochastic intelligent truss structure are taken as research object in this paper. the analytical model and method of the structural dynamic characteristic are investigated. when the applied forces are random excitation or random process ( stationary random process or non - stationary random process ) excitation, the structural dynamic response, the active vibration control for the intelligent structure, the optimal placement of the sensor and the actuator and the optimization of the feedback gains of the closed loop control system for the intelligent structure, and the effects of the structural parameters on the active vibration control et al are all studied systemically

    本文以隨機結構和隨機智能桁架結構為對象，對結構動力特性分析模型與求解方法進行了研究；對結構在隨機力或隨機過程（平穩隨機過程或非平穩隨機過程）激勵下，結構的動力響應、結構的振動主動控制、智能結構中作動和傳感元件配置位置與閉環控制系統增益優化、結構參數對振動主動控制效果的影響等問題開展了全面而系統的研究。
  14. Kalman filtering is widely used for data processing in kinematic gps positioning, while the practical application of kalman filtering requires the dynamic model ( functional model ) and the stochastic model to be reliable and accurate, yet it is difficult to maintain regular motion of the object in actual kinematic positioning, thus model biases are usually generated

    摘要動態定位的數據處理中廣泛應用卡爾曼濾波，而卡爾曼濾波的應用要求動態模型（函數模型）和隨機模型可靠和切合實際，但實際測量定位中難以保證觀測對象的規則運動，因而容易出現模型誤差。
  15. Torsion shaft ' s dynamic simulation based on stochastic virtual prototyping model

    基於隨機虛擬樣機的某型自行火炮扭力軸動力模擬
  16. Considering the randomness of physics parameters of structural material, geometric dimensions, damping, loads and closed loop control voltage respectively or simultaneously, the analytic model of the stochastic structure under random forces are built. the solving methods are proposed. the computational expressions of the numerical characteristic of the structural dynamic response are developed

    2 、考慮壓電智能桁架結構物理參數、幾何參數、結構阻尼和外荷載、閉環系統控制電壓分別或同時為隨機變量，構建了結構在隨機力作用下的動力響應分析模型，提出了求解方法，推導出結構動力響應隨機變量的數字特徵計算表達式，通過算例驗證了所建模型和所提求解方法的正確性和有效性。
  17. There are still so many difficulties existing in the description and analysis of dynamic systems in current safety analysis techniques. in this case, we study the description and analysis idea based on classical pctri nets and its extension for safety systems, and present the way to model such systems using generalized stochastic petri nets ( gspn )

    目前安全性分析技術在動態系統安全性描述和分析方面存在很多困難，據此論文研究了在經典petri網及其擴展模型的基礎上進行描述和分析的思路，提出採用廣義隨機petri網（ gspn ）建立系統安全性模型的方法。
  18. This paper first presents the uncertainty of water resources and the process of fuzzy set theory in this field, then analyzes the current conditions of agricultural water resources and its sustainable developments in our country. based on the researches in this field, considering its character of multi - objective, multi - layer, multi - function and multistage, this paper mainly deals with the fuzziness and stochastic uncertainty of agricultural water resources system. the major contents and research results are as follows : 1 based on chen shouyu ' s fuzzy set theory, this paper presents a fuzzy optimal multi - dimension and multi - objective dynamic programming model, then two methods are given

    本文首先闡述了水文水資源的不確定性及模糊水文水資源學的發展現狀，分析了我國農業水資源現狀及其可持續利用，在論述區域農業水資源優化領域研究現狀的基礎上，鑒于農業水資源系統優化的多目標、多層次、多功能、多階段、多維與隨機的特徵，針對系統中普遍存在的模糊性和隨機性開展研究，主要研究內容和研究成果概括如下： 1 、基於陳守煜提出的多目標模糊優選動態規劃理論，提出復雜水資源系統的多維多目標模糊優選動態規劃問題的兩種求解辦法：多維多目標的決策序列相對優屬度總和最大法和多維多目標階段模糊優選動態規劃方法。
  19. And the improved potential field model is used in path planning with dynamic environment the results of simulation have verified that the method can solve the problem effectively, even though there are stochastic moving obstacles in the surroundings. the third part describes the local minimum of the khatib artificial potential field model and its cause. a new way of optimizing the path using improved potential field approach with genetic algorithm was proposed

    再次，分析khatib人工勢場模型存在的局部最小點問題和產生原因，為了解決由於模型參數的隨機性帶來的局部最小值問題，提出一種基於改進的人工勢場模型的遺傳演算法搜索方法，並用該方法來尋求全局最優解，從而跳出函數的局部最小點，達到路徑最優。
  20. 6 based on the fuzzy optimal multi - dimension and multi - objective dynamic programming model, this paper presents a stochastic multi - dimensional and multi - objective fuzzy dynamic programming, it can be used in decision making among complex systems, which characterized by random inputs. two different methods are given, one is named stochastic maximum sum of relative membership degree, and the other is named stochastic multi - dimension staged fuzzy optimization theory

    6 、在多維多目標動態規劃工作的基礎上，結合水文過程的隨機性和具有時序性的特點，提出了多維多目標隨機模糊優選動態規劃方法;並根據所研究問題的性質，給出兩種解法:隨機多維決策序列相對優屬度總和最大法和隨機多維多目標階段模糊優選法。
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