PV_Battery_Vf_Model

利用matlab描述的算法大全，包括30种算法(Described using matlab algorithm Daquan, including 30 algorithms)

this code is for prison problem

Learning_random.m : 随机选择样例，从（90）pool里随机选择样本，删除版本空间树的数量 activeLearning.m:根据最大熵原则,从pool里选择样本，删除版本空间树的数量 getlabel.m:根据树和测试样例，得到根据该树得到的类标 getTrees.m:从提供的大量树结构(随机生成的)中，随机挑选一定数量的树(如果该树的叶子节点无类标随机添加) RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树， RandomCreateTree_d_all.m:根据所有样本点的割点建造树 randomdata.m：给定属性取值，造数据 randomselect.m:从数据中随机选择一部分作为 showTree.m:显示树的结构 test.m:给出树，测试样例，得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)

通信实验指导：哈夫曼编码的matlab实现，有源码和详细文档(Communication experiment guide: Huffman coding matlab to achieve, there are source code and detailed documentation)

matlab的教程，例题，包括数值，符号，图像等运算及答案(matlab tutorials, sample questions, including the values, symbols, images and other computing and answers)

边缘检测的MATLAB程序边缘检测的MATLAB程序(MATLAB procedures for edge detection)

基于补偿的模糊神经网络，此程序序开发于matlab-matlab (Compensation-based fuzzy neural network, this program logic developed in Matlab-Matlab)

MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非常好用。但是如果我们已经确定了拟合的方法，只需要对数据进行计算，那么这种GUI的操作方式就不太适合了，比如在m文件中就不方便直接调用cftool。 (matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)

噪声信号中正弦信号的现代法频谱分析，在不同周期不同长度和不同信噪比下的结果(Sinusoidal signal in noise spectrum analysis of modern law, in different periods of different lengths and different signal to noise ratio results)

相位衬度成像中恢复算法经典程序，MATLAB环境，(Phase-contrast imaging procedures to recover the classical algorithm, MATLAB environment,)