应用函数
- 与 应用函数 相关的网络例句 [注:此内容来源于网络,仅供参考]
-
The modified particle swarm optimization is utilized to solve the proposed reactive power optimization model; and combining with non–stationary multi-stage assignment penalty function, the reactive power optimization problem is transferred into a problem to solve extreme-value without constraints, thus the calculation accuracy and global convergence ability of MPSO are effectively improved, and power grid company can achieve maximal economic benefit by means of the proposed algorithm.
应用改进粒子群优化算法求解该无功优化模型,并结合动态调整罚函数法将无功优化问题转化成无约束求极值问题,从而有效地提高了改进粒子群优化算法的全局收敛能力和计算精度,使电网公司取得了最大经济效益。
-
In this paper, the applications of statistical heuristic search to optimization computing are discussed,mainly the function optimization.
本文讨论统计启发式搜索算法在优化计算中的应用,主要是函数求优化。
-
The hybrid optimization algorithm is employed to solve the models where the membership functions of loan return rates are complex.The algorithm integrates fuzzy simulation,neural network,genetic algorithm and simultaneous perturbation stochastic approximation algorithm.
对于贷款收益率的隶属函数比较复杂的情况,应用集成模糊模拟、神经网络、遗传算法和同步扰动随机逼近算法的混合优化算法求解模型。
-
The hybrid optimization algorithm was employed to solve the models where the membership functions of loan return rates were complex. The algorithm integrated fuzzy simulation, neural network, genetic algorithm and simultaneous perturbation stochastic approximation algorithm.
对于贷款收益率的隶属函数比较复杂的情况,应用集成模糊模拟、神经网络、遗传算法和同步扰动随机逼近算法的混合优化算法求解模型。
-
The first one focuses upon the fundamental theory and methods of system identification, including the basic concepts of system description and identification,review of matrix theory, stochastic process and pulse response of linear systems; the first principle models for lumped and distributed parameter systems; modeling of bioreactions; auto regressive moving average model; weighted least square and regressive weighted least square for parameter estimation of ARMA model; Runge-Kutta and Simplex methods; an example of BPNN application; as well as Kalman Filter.
第一部分包括知识驱动建模、数据驱动建模、参数估计和状态估计的基础理论和方法。具体为:(1)系统辨识和系统描述的基本概念,包括矩阵论、随机过程、线性系统的脉冲响应函数等基础知识回顾;(2)基于动态物料和能量衡算的集总参数、分布参数对象的知识驱动建模方法;(3)生物反应系统的建模方法;(4)自回归移动平均模型;(5) ARMAX模型参数的加权最小二乘参数估计一次性算法和递推算法,相应的统计性质;(6)龙格库塔法和单纯形法;BP神经网络应用实例;(7)卡尔曼滤波器,及其与加权最小二乘参数估计递推算法的对比。
-
For instance, if the life distribution of a certain kind of product is unaware, we stochastically choose products to do the time-truncated reliability test.
在Bayes方法中,提出了R的先验分布的构造方法——增函数法,并给出了在无失效数据问题中的应用。
-
There are two widely-used inventory service-level measuring func- tions in the stochastic inventory model,i.e,the average stockout per unit time F_1and average outstanding backorders F_2.
在随机存贮模型中有两个被广泛应用的标志存贮服务水平的度量函数,即单位时间的平均缺货额 F_1和平均未偿还的延迟交货额 F_2。
-
Considering the uncertainty of the estimating reliability in the model, the theory of Bayes disk decision is used to solve the problem. The expected utility function is used to measure the uncertainty of the estimating reliability, and the Bayes decision rule for stopping reliability growth test is defined. In the end, an example is given to validate the feasibility of this method.
考虑到可靠度估计的不确定性,采用贝叶斯风险决策技术,通过期望效用函数量化可靠度的不确定性,并定义了停止可靠性增长试验的贝叶斯决策规则,最后给出了一个应用实例验证了方法的可行性。
-
To simplify FEM analysis of concrete creep, the function to creep coefficient is proposed as per the Code for Design of Highway RC and PC Bridges and Culverts (JTG D62-2004), using a synthesis optimization software package "1 stopt" for stepped fitting with exponential functions.
为了便于进行混凝土徐变有限元分析,对JTG D62-2004《公路钢筋混凝土及预应力混凝土桥涵设计规范》提出的徐变系数函数,应用综合优化软件包1stopt进行分段指数函数拟合。
-
Study on proof of sum of products equality and its application
给出了积分上限函数在证明等式和不等式、计算累次积分、证明微分中值定理和积分中值定理中的应用。
- 推荐网络例句
-
This one mode pays close attention to network credence foundation of the businessman very much.
这一模式非常关注商人的网络信用基础。
-
Cell morphology of bacterial ghost of Pasteurella multocida was observed by scanning electron microscopy and inactivation ratio was estimated by CFU analysi.
扫描电镜观察多杀性巴氏杆菌细菌幽灵和菌落形成单位评价遗传灭活率。
-
There is no differences of cell proliferation vitality between labeled and unlabeled NSCs.
双标记神经干细胞的增殖、分化活力与未标记神经干细胞相比无改变。