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residual sum相关的网络例句

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与 residual sum 相关的网络例句 [注:此内容来源于网络,仅供参考]

In this paper, through FEM residual stress relaxation at hot spot is studied under arbitrary variable amplitude cyclic loading, and the relation of the sum of residual stress relaxation, residual stress and the applied load is revealed.

该文通过有限元方法分析了在任意变幅循环载荷下,疲劳热点处的残余应力释放的规律,归纳出残余应力释放的大小与初始残余应力和外载荷之间的关系公式。

To examine this relationship on a finer scale, a residual sum of squares analysis was also run to determine whether the two structures suggested different mean lengths at age for one population.

为了研究这种关系的精密范围,利用残差和分析来判断一种种群同一年龄两种结构能推出不同的体长平均值。

Based on the order number 10, the quadratic sum of residual error is 533%, the extrapolating result is wrong. But with the order number 9, the quadratic sum of residual error is 0.673%, the result is right

对於表面特定温度为θ(0, t)的曲线,测得其0.0129cm处的温度变化规律反推,选取阶数为10时,剩余误差平方和为533%,外推结果错误,选取阶数为9时,剩余误差平方和为0.673%,外推结果正确。

The 3D-curves were shown for different factors,root mean square errors of cross validation,and prediction residual sum of squares.Analysis results ...

实验结果表明:校正模型的预测精度在5 452~12 285 cm-1波段范围内,最佳主因子数为7时,雪青梨总酸的预测精度最好,其预测集的相关系数达到了0.79,预测标准偏差为

Model structure is determined according to the principle of minimizing residual sum of squares, model parameters are estimated by optimum instrumental variable method and prediction error method and validation of the model is performed by examining the whiteness of model residuals.

采用最小二乘法估计制动器ARX模型的参数,以损失函数最小为优化准则,判断了制动器模型的阶次。运用最优辅助变量法和预报误差法,对制动器ARMAX模型的参数进行了估计。

This paper infer a series of recursive equation based on lease square estimation in order to reduce computing amount, include recurrence equation of regression coefficient, total dispersion square sum, residual square sum, regression square sum etc.

为了减少计算量,本文推导了基于最小二乘估计的一系列递推公式,包括回归系数、总离差平方和、残差平方和、回归平方和等的递推公式。

Moreover,the residual sum of squares in least-square principle is introduced into the fitness function to enhance the fitting precision of the sensor p...

实验结果表明,该方案应用于土壤信息采集系统,不仅可以达到比粒子群优化(Particle swarm optimization,简称PSO)算法和量子粒子群优化(Quantum-behaved particle swarm optimization,简称QPSO)算法更好的寻优结果,而且具有比遗传算法更理想的位置拟合精度,是一种有效可行的传感器配置方法。

A new method for estimating parameters is proposed due to the characteristics of artificial fish school algorithm such as overcoming the local optimal value and robustness. Firstly, the parameters of production function are constructed into the artificial fish and residual sum of squares is designed into the function of food consistence, secondly, the parameters of production function are estimated by the random behavior, preying behavior, swarming behavior and following behavior.

基于人工鱼群算法能够克服局部极值、鲁棒性强等特点,给出了一种生产函数中参数估计的通用新方法,该方法首先将生产函数模型中的参数构造成人工鱼模型,利用残差平方和设计食物浓度函数,然后通过人工鱼的随机、觅食、聚群、追尾等行为,对生产函数中的参数进行估计。

Check method of residual error was used to judge data error, as if sum of front K residual error was unlikeness with sum of back n-K residual error in measure row, it shown that exist linear system error in measure row.

使用残余误差校核法,若测量列中前K个残余误差之和与后个残余误差之和不相等,则测量列存在线性系统误差。

A two-layer framework with particle swarms cooperative optimization and a mutation parameter is introduced by the QPSCO algorithm for larger searching scale and quicker convergence. Moreover I the residual sum of squares in least-square principle is introduced into the fitness function to enhance the fitting precision of the sensor position curve.

在QPSCO算法中,采用双层的多粒子群协同优化结构,同时引入参数变异策略,在扩大搜索范围的同时加快该算法收敛;将加权最小二乘法的误差平方和引入适应度函数中,以提高传感器位置曲线的拟合精度,从而实现传感器的优化配置。

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