SB2_Release_200

Post codes, solve GA-knapsack with the help of genetic algorithms using MATLAB software.

用于产生巴克码序列的matlab程序，测试可以运行，解压后在matlab中打开m文件即可(Barker code used to generate the sequence matlab program, tests can be run to open the file in matlab m extract after)

说明：  抛物线法求解 方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*. 设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程 例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式. 方程中的系数a0由你得到的根p*来确定. (parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)

一种新型的滑膜控制结构，欢迎提出修改意见。(A new control structure synovial welcome propose amendments.)

基于元胞自动机模拟交通流的程序，发生追尾时候的交通阻塞状况，希望对大家有用(Simulation of the cellular automaton traffic accident)

CR行列式计算几何非线性空间杆系结构的通用matlab程序(CR determinant geometrically nonlinear space truss structures generic matlab program )

一个简单的四则运算计算器，它能实现两个数据的加减乘除运算，数据需手动输入。因为界面相对简单，方便初学者使用学习(A simple four-function calculator, it can achieve two data arithmetic operations, data to be entered manually. Because the interface is relatively simple and easy to learn for beginners)

主要讲述了数码相机MIPI接口协议说明，工作模式及信号传输原理等(Camera Interface Overview)

MATLAB柴油发电机组单体仿真模型，微网系统研究重要分布式电源模块，可以与50hz电网并网模型。(simulation model MATLAB diesel generating sets, microgrid research important distributed power supply module, can with the grid model 50Hz power system.)

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)