stochastic optimization造句
例句与造句
- The stochastic optimization algorithm is studied and the model of the power management system is presented
摘要研究了随机最优算法，并建立了该算法的电源管理系统模型。 - Due to its character of " uphill climbing " , stochastic optimization algorithm is widely used to solve inverse problems
因而具有“上山”性的随机类优化算法成为求解逆问题的主要数学工具。 - Sa is a stochastic optimization technique that has been used to solve continuous , order discrete and muti - modal optimization problems
模拟退火算法是一种用于解决连续、有序离散和多模态优化问题的随机优化技术。 - The stochastic optimization algorithm can get favorable equilibrium between the energy consumption and the reliability of performance in the system
随机最优算法可以在节约系统能耗和保证系统性能之间取得较好的平衡。 - The consumption - wealth ratio , the mean growth rate of economic and the portfolio shares were derived by using stochastic optimization method
通过随机最优化方法，确定了均衡状态下的消费财富比，期望经济增长率以及货币资本的份额。 - It's difficult to find stochastic optimization in a sentence. 用stochastic optimization造句挺难的
- He holds a phd in theoretical physics from the technical university of chemnitz , germany , where he investigated stochastic optimization algorithms on parallel computers
他从德国chemnitz技术大学获得理论物理博士学位，在大学里他研究了并行计算机上的随即最优化算法。 - 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
本文讨论了电磁场逆问题的求解方法，系统地进行了随机类优化算法的改进研究以及轮毂式永磁电机优化设计的应用研究。 - 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
保险公司通过参数的组合选择，得到不同的随机利率下的保险产品；同时，建立了随机优化模型。 - 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
多模态函数和时变函数的随机优化问题是函数优化的重要研究内容，也是一个难以解决的问题。 - 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
模拟退火法( kirkpatrick等， 1983 )是一种随机的优化技术，它是零阶算法，不需要导数信息，广泛地用于解决连续的、有序离散及多模态优化问题。 - 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盖线性、网路、离散和非线性最佳化，启发式方法，灵敏度分析，事后最佳化分析，大规模系统的分解方法和随机最佳化。 - 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
建模工具和方法涵盖线性规划，网络规划，离散规划，非线性规划，启发式方法，灵敏度分析，事后最优性分析，大规模系统的分解方法和随机规划。 - 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
摘要针对在工程中完全采用随机类优化方法寻优时计算量过大的问题，应用统计学的方法发展了计算量小、在一定程度上可以保证设计准确性的近似模型方法。 - 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
马尔可夫决策过程( markovdecisionprocesses ，简称mdp ，又称序贯随机最优化、随机最优控制、受控的马尔可夫过程或随机动态规划)是研究随机序贯决策的问题的理论。 - 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
本文对遗传算法、模拟退火算法、禁忌搜索算法等几种常用的随机类优化算法进行了改进，以标准数学函数作为检验依据对改进算法作出评价，并将各改进的算法应用于实际电磁场逆问题的求解，总结其应用的实际经验和见解。
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