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1)  inertia weight matrix
惯性权重矩阵
1.
This new approach could balance the local searching and the global searching by adopting inertia weight matrix to adaptively and dynamically adjust inertia weights.
利用维惯性权重矩阵自适应动态调整惯性权重,较好地平衡了算法的全局探索和局部开发,并分析了惯性权重随种群多样性的变化关系。
2)  inertia matrix
惯性矩阵
1.
Based on the non recursive formulation for the manipulator inverse dynamics developed in this paper and the method 1 of Walker and Orin , this paper presents a parallel algorithm oriented to O(n) multiprocessors for the manipulator inertia matrix.
本文在给出一种非递推形式的逆动力学计算公式的基础上,针对机械臂惯性矩阵的计算提出了一种面向O(n)个处理器的并行算法,并以PUMA560机器人的前3个臂为例进行了计算效率分
2.
If numerable informations have been given,such as mass and Inertia matrix,the Lagrange multiplier in the minimal method with conditions is applied to deal with the density of real sphere.
基于对陀螺简化为圆盘时密度反求问题的研究,本文进一步讨论实心球的相关问题,即已知有限个"粗略"测量信息下,如质量、惯性矩阵、利用带约束的最小化问题的拉格朗日乘子法来反求实心球的密度函数问题。
3)  inertial matrix
惯性矩阵
1.
Correctly established the motion equations in order to solve the vibration problems of multi degree of freedom vibration system, and instituted properly the inertial matrix, stiffness matrix and damping matrix in terms of D ALEMBERT s principle and general theorems of dynamics.
正确确定系统的惯性矩阵、刚度矩阵和阻尼矩阵 。
2.
It reguires to correctly establish the inertial matrix, stiffness matrix and damping matrix.
这就要求正确地确定系统的惯性矩阵、刚度矩阵和阻尼矩阵。
4)  matrix inertia
矩阵惯性
5)  weight matrix
权重矩阵
6)  inertia weight
惯性权重
1.
Research advances on inertia weight in particle swarm optimization;
粒子群优化算法中惯性权重的研究进展
2.
Modified particle swarm optimizer using non-linear inertia weight;
一种非线性改变惯性权重的粒子群算法
3.
Particle swarm optimization with self-adaptive stochastic inertia weight;
具有自适应随机惯性权重的PSO算法
补充资料:惯性


惯性
inertia

  惯性(inertia) 惯性是物质的一种性质,表现为物体对一其变化的阻抗。因此,当没有外力作用时,原来处止状态的物体将保持静止、而原来在运动中的将以不变的速度继续作直线运动(牛顿第一运律)。物体的质量是它的惯性的度量。参阅“寿(mass)条。 仁内代尔斯基(1.Nedelsky)动静淋淀剔阳
  
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