1) the algorithm matrix
算法矩阵
2) matrix algorithm
矩阵算法
1.
Study on protecting and monitoring system of combined switch based on MAS and matrix algorithm;
基于MAS和矩阵算法的组合开关保护测控系统的研究
2.
An optimization matrix algorithm is presented based on analysis of typical methods.
矩阵算法是求解不含负回路的网络中所有顶点对之间最短路的有效算法之一,但当节点比较多时,计算的矩阵多,重复计算量大,降低了计算效率。
3.
This paper introduces the concepts and types of location-allocation model, and probes into how to determine the position of service facilities in the network environment by using the matrix algorithm.
介绍了区位配置模型的概念与类型,运用矩阵算法,探讨了在网络环境中如何确定服务设施的位置。
3) matrix algorithms
矩阵算法
1.
It also found the minimum cutset of the fault tree with matrix algorithms.
综合分析了影响联合站仪器仪表可靠性的主要因素,建立了联合站仪器仪表失效故障树,并运用矩阵算法求出了故障树的最小割集,确定了主要失效形式,并提出了提高联合站仪器仪表可靠性的措施。
2.
In this paper,the correctness in theory of the matrix algorithms has been proved by matrix as tool,induction of four definitions,giving three theorems and two corollaries derived from theorems under the condition of polynomials multiplications and polynomials division which can or cannot be divided exactly.
目的研究多项式乘、除法的矩阵算法。
4) matrix pencil algorithm
矩阵束算法
1.
In order to describe the characteristic of the transient response from the electromagnetic pulse coupling through aperture,the measured discrete transient response date with noise are represented as the matrices and then decomposed and constructed the matrix pencil,which are based on the Singularity Expansion Method(SEM) and the matrix pencil algorithm.
为了描述电磁脉冲孔耦合瞬态响应特征,基于奇点展开法(SEM)和矩阵束算法,将含有噪声的离散瞬态响应数据表示成矩阵的形式,并分解构造矩阵束,通过奇异值分解(SVD)和广义最小二乘法来进行参数估计,建立了提取电磁脉冲孔耦合瞬态响应极点及留数的模型,进行了仿真和重构实测响应波形。
5) F algorithm of matrix
矩阵F算法
6) matrix multiplication method
矩阵运算法
1.
Two kinds of continuous structure bandstop and lowpass microstrip filters named uniform and constant ratio were studied by matrix multiplication method.
用矩阵运算法对“均匀”和“等比”两种连续结构的带阻及低通滤波器进行了研究,分析了结构参数对滤波器性能的影响。
补充资料：BP算法
分子式：
CAS号：
性质：又称逆推学习算法，简称BP算法，是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统)，它自动地将实际输出值和期望值进行比较，得到误差信号，再根据误差信号从后(输出层)向前(输入层)逐层反传，调节各神经层神经元之间的连接权重，直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小，但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
CAS号：
性质：又称逆推学习算法，简称BP算法，是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统)，它自动地将实际输出值和期望值进行比较，得到误差信号，再根据误差信号从后(输出层)向前(输入层)逐层反传，调节各神经层神经元之间的连接权重，直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小，但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条