mask_attack

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 )

二进制的遗传算法整定pid的参数，用于遗传算法的初步学习(Binary genetic algorithm-tuning the pid parameter for the genetic algorithm preliminary study)

说明：  混沌工具函数 function [x,y]=henon(n,level,a,b,x0,y0)(chaos function function [x,y]=henon(n,level,a,b,x0,y0))

关于频率选择性信道的仿真,对做通信系统仿真的朋友很有帮助,已经经过调试.(of frequency selective access to the simulation, done on the communications system simulation helpful friends, after debugging.)

DDA line Algorithm for draw line by matlab

darkeden 6.67 ver exe file!!

用matlab实现的固体模型，绕地球飞行的活动物体。(Using matlab realize solid model, the activities around the world flying objects.)

The Sugeno-Takagi-like fuzzy controller: This controller is a two input one output fuzzy controller The first input is the error=x The second input is the error_dot=y(time derivative of the error) The output of the fuzzy controller is the CHANGE in the control action and NOT the control action.

自己用MATLAB仿真的直接转矩控制电机的仿真，大家可以参考一下！(Own use MATLAB simulation of direct torque control of motor simulation, we can refer to!)

模糊熵 神经网络的程序 很有帮助，内容写的很详细。(Fuzzy entropy neural network program is helpful, the content written in great detail.)