CS_tool

matlab基本语法 基本规则和基本绘图 (matlab basic rules of basic grammar and basic drawing)

后向欧拉方法求解微分方程的初值问题，运用牛顿迭代解决implicit(backward euler solver for ODE)

该工具箱包括了二种分类,二种回归,以及一种一类支持向量机算法 (1) Main_SVC_C.m --- C_SVC二类分类算法 (2) Main_SVC_Nu.m --- Nu_SVC二类分类算法 (3) Main_SVM_One_Class.m --- One-Class支持向量机 (4) Main_SVR_Epsilon.m --- Epsilon_SVR回归算法 (5) Main_SVR_Nu.m --- Nu_SVR回归算法(The kit includes two kinds of classification, two kinds of regression, and a one-class support vector machine algorithm (1) Main_SVC_C.m--- C_SVC II classification algorithm (2) Main_SVC_Nu.m--- Nu_SVC II classification algorithm (3) Main_SVM_One_Class.m--- One-Class Support Vector Machine (4) Main_SVR_Epsilon.m--- Epsilon_SVR regression algorithm (5) Main_SVR_Nu.m--- Nu_SVR regression algorithm)

isual Basic is a high level programming language that can be used to develop useful business software, stimulating educational programs,cutting-edge engineering applications, amusing games, entertaining multimedia programs and many other practical applications. Some of the VB sample codes created by us are calculator, Library System, Stop Watch and more.

Asymptotic partially directed coherence

常规PID控制器主要采用模拟PID控制器。这种控制器的控制规律是：根据给定值和输出值构成的偏差按比例、积分和微分通过线性组合构成控制量，对被控对象进行控制。(Conventional PID controller is used mainly analog PID controller. This controller is the control law: according to the given value and output value constitutes a deviation by proportional, integral and differential form by a linear combination of the amount of control, control of the controlled object.)

当水下存在多个目标时，利用平均声强器检测已经不再有效，此时使用复平均声强器来确定多目标的方位。(When existing multi sources, average acoustic intensity does work. At this case, complex average acoustic intensity can obtain the direction of multi sources.)

ROC曲线仿真 不同信噪比下的检测性能曲线，横轴信噪比，纵轴检测概率，随信噪比增加，检测概率提高(ROC curve simulation- detect different SNR performance curve, the horizontal signal to noise ratio, and the vertical axis detection probability with signal to noise ratio increased to improve the detection probability)

利用熵值法判断某个指标的离散程度的。在信息论中，熵是对不确定性的一种度量。信息量越大，不确定性就越小，熵也就越小;信息量越小，不确定性越大，熵也越大。根据熵的特性，我们可以通过计算熵值来判断一个事件的随机性及无序程度，也可以用熵值来判断某个指标的离散程度，指标的离散程度越大，该指标对综合评价的影响越大。 因此，可根据各项指标的变异程度，利用信息熵这个工具，计算出各个指标的权重，为多指标综合评价提供依据。(Using entropy method to judge the degree of dispersion of a certain index.)

matlab中的数据插值描述，和大家一起分享参考(Matlab interpolation of data description, and others together to share information)