CallerID_V23

说明：  提出的方法(DC-ADMM-P)采用了一种新的策略，即使用consensus ADMM来解决DC-DOPF-CET的对偶问题，而只揭示相邻子系统之间的边界分支信息。此外，通过减少双乘子的误码率和采用改进的乘子更新步骤，提高了DC-ADMM-P的收敛性能。(the ADMM-based distributed approaches disclose boundary buses and branches information among adjacent subsystems. As opposed to these methods, the proposed method (DC-ADMM-P) adopts a novel strategy which uses consensus ADMM to solve the dual of DC-DOPF-CET while only disclose boundary branches infor-mation among adjacent subsystems. Moreover, the convergence performance of DC-ADMM-P is improved by reducing the num-ber of dual multipliers and employing an improved update step of the multiplier.)

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  关于背景重构和目标检测的一些论文，很多好的算法包含在里面了。(Background reconstruction and detection of a number of papers, many good algorithms included in it.)

说明：  matlab 电子测量 包括误差分析的很多函数(matlab dianziceliang)

说明：  wsn路由，用matlab仿真，具有选簇的功能(WSN routing, using matlab simulation, with the election of the functional cluster)

B-Spline Surface Least-Squares Fitting of both Positions and Normals.

ASK, PSK and FSK modulation using matlab

calculate Gauss elimination with complete pivoting

这是一个标准的基本粒子群算法，可以在此基础上加入fun函数完成解。(This is a standard basic particle swarm algorithm, which can be added fun function to complete the solution.)

说明：  二维插值计算钻井平台载荷，具有GUI操作界面(Load of two-dimensional interpolation drilling platform)