stochastic optimization造句
例句與造句
- The stochastic optimization algorithm is studied and the model of the power management system is presented
摘要研究了隨機最優(yōu)算法，并建立了該算法的電源管理系統(tǒng)模型。 - Due to its character of " uphill climbing " , stochastic optimization algorithm is widely used to solve inverse problems
因而具有“上山”性的隨機類優(yōu)化算法成為求解逆問題的主要數(shù)學工具。 - Sa is a stochastic optimization technique that has been used to solve continuous , order discrete and muti - modal optimization problems
模擬退火算法是一種用于解決連續(xù)、有序離散和多模態(tài)優(yōu)化問題的隨機優(yōu)化技術(shù)。 - The stochastic optimization algorithm can get favorable equilibrium between the energy consumption and the reliability of performance in the system
隨機最優(yōu)算法可以在節(jié)約系統(tǒng)能耗和保證系統(tǒng)性能之間取得較好的平衡。 - The consumption - wealth ratio , the mean growth rate of economic and the portfolio shares were derived by using stochastic optimization method
通過隨機最優(yōu)化方法，確定了均衡狀態(tài)下的消費財富比，期望經(jīng)濟增長率以及貨幣資本的份額。 - It's difficult to find stochastic optimization in a sentence. 用stochastic optimization造句挺難的
- He holds a phd in theoretical physics from the technical university of chemnitz , germany , where he investigated stochastic optimization algorithms on parallel computers
他從德國chemnitz技術(shù)大學獲得理論物理博士學位，在大學里他研究了并行計算機上的隨即最優(yōu)化算法。 - This paper mainly presents the method of solving inverse electromagnetic problems , the improvement of the stochastic optimization algorithm and the optimal designing of outer - rotor permanent motor
本文討論了電磁場逆問題的求解方法，系統(tǒng)地進行了隨機類優(yōu)化算法的改進研究以及輪轂式永磁電機優(yōu)化設計的應用研究。 - The insurance company can also acquire various insurance products with stochastic interest by different combinations of parameters . establish a stochastic optimization model based on aggregate model of life insurance with stochastic interest
保險公司通過參數(shù)的組合選擇，得到不同的隨機利率下的保險產(chǎn)品；同時，建立了隨機優(yōu)化模型。 - Functions optimization for multi - modal functions optimization and non - stationary are one of important research subjects of function optimization . both of the problems are difficult to be solved by stochastic optimization algorithms in existence
多模態(tài)函數(shù)和時變函數(shù)的隨機優(yōu)化問題是函數(shù)優(yōu)化的重要研究內(nèi)容，也是一個難以解決的問題。 - Sa is a stochastic optimization technique and a zero - order algorithm requiring no derivative information and has been used extensively to solve continuous , ordered discrete and multi - modal optimization
模擬退火法( kirkpatrick等， 1983 )是一種隨機的優(yōu)化技術(shù)，它是零階算法，不需要導數(shù)信息，廣泛地用于解決連續(xù)的、有序離散及多模態(tài)優(yōu)化問題。 - Modeling tools and techniques include linear , network , discrete and nonlinear optimization , heuristic methods , sensitivity and post - optimality analysis , decomposition methods for large - scale systems , and stochastic optimization
模型建立工具和方法涵蓋線性、網(wǎng)路、離散和非線性最佳化，啟發(fā)式方法，靈敏度分析，事后最佳化分析，大規(guī)模系統(tǒng)的分解方法和隨機最佳化。 - Modeling tools and techniques include linear , network , discrete and nonlinear optimization , heuristic methods , sensitivity and post - optimality analysis , decomposition methods for large - scale systems , and stochastic optimization
建模工具和方法涵蓋線性規(guī)劃，網(wǎng)絡規(guī)劃，離散規(guī)劃，非線性規(guī)劃，啟發(fā)式方法，靈敏度分析，事后最優(yōu)性分析，大規(guī)模系統(tǒng)的分解方法和隨機規(guī)劃。 - To reduce huge computation of the traditional stochastic optimization methods for engineering optimization , approximation model methods with acceptable accuracy for engineering design are developed based on the statistical theory
摘要針對在工程中完全采用隨機類優(yōu)化方法尋優(yōu)時計算量過大的問題，應用統(tǒng)計學的方法發(fā)展了計算量小、在一定程度上可以保證設計準確性的近似模型方法。 - Markov decision process , in short mdp , is also called sequential stochastic optimization stochastic optimum control . the controlled markov process or stochastic dynamic programming is the theory on stochastic sequential decision
馬爾可夫決策過程( markovdecisionprocesses ，簡稱mdp ，又稱序貫隨機最優(yōu)化、隨機最優(yōu)控制、受控的馬爾可夫過程或隨機動態(tài)規(guī)劃)是研究隨機序貫決策的問題的理論。 - This paper improves some commonly used stochastic optimization algorithms , such as genetic algorithm , simulated annealing algorithm and tabu search algorithm , and improved algorithms are verified by the standard mathematical functions . then , improved algorithms are used to solve practical electromagnetic problems and the items of practical application of algorithms worthy of paying attention to are emphasized
本文對遺傳算法、模擬退火算法、禁忌搜索算法等幾種常用的隨機類優(yōu)化算法進行了改進，以標準數(shù)學函數(shù)作為檢驗依據(jù)對改進算法作出評價，并將各改進的算法應用于實際電磁場逆問題的求解，總結(jié)其應用的實際經(jīng)驗和見解。
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