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1)  CGM-OC approach
正交校正共轭梯度
1.
In order to improve the learning efficiency and stability of feedforward neural network, a fast learning algorithm for neural networks base on CGM-OC approach is presented.
为了提高前馈神经网络的权的学习效率及稳定性,该文提出一种基于正交校正共轭梯度优化方法的快速神经网络学习算法,通过与其它学习算法(如:BP算法、变尺度法、用差商近似代替导数的Powell法等)的比较,经仿真试验表明,本算法是一种高效、快速的学习算法。
2)  conjugate correct
共轭校正
1.
Aim Equating multilayer turbulence to single layer in order to provide the basis for the wide field of view adaptive system with mono conjugate correct.
目的将多层湍流用单层等效,为单层共轭校正宽视场自适应光学系统提供理论依据。
3)  conjugate quadrature mirror
共轭正交
1.
This paper researches the wavelet transform of discrete-time sequences basing on dendriform filer banks in the signal processing field, analyses the theory and design method of two channel conjugate quadrature mirror filter banks and fast implement of discrete orthogonal wavelet transform and generation of orthogonal wavelets, and points out the internal relationship between them.
笔者从信号处理的角度研究了离散时间序列的小波变换利用树状滤波器组实现的方法,分析了两通道共轭正交镜象滤波器组理论及滤波器设计,离散时间序列的正交小波变换的快速实现以及正交小波的构造,指出了其内在联系,最后举例说明了正交小波变换通过共轭正交镜象滤波器组来实现信号分解和重构的全过程。
4)  a conjugate orthogonality
A共轭正交
5)  multiconjugate correct
多共轭校正
6)  modified preconditioned conjugate gradient
修正预优共轭梯度算法
1.
Based on the character of the complex structure of SF6 circuit breaker in three-phase-in-one-tank GIS,the modified preconditioned conjugate gradient(MPCG)algorithm applied to solve multi-nodes and multi-elements large sparse real positive defined symmetric matrix is analyzed and the program diagram of MPCG algorithm is also proposed.
针对实际的GIS三相共罐式SF6高压断路器模型结构复杂的特点,分析了适用于计算多节点、多单元的大型稀疏正定实对称矩阵求解的修正预优共轭梯度算法MPCG,给出MPCG算法的迭代流程。
补充资料:压力梯度校正因子
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性质:又称压力校正因子。在气相色谱法中,用以校正在色谱柱中由于载气的可压缩性所产生的压力梯度的因子。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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