遗传算法的matlab APP实现

说明：  通过免疫算法解决旅行商问题，在matlab下实现(Through the immune algorithm to solve traveling salesman problem, in under matlab)

some simulation of dtc coommand my name is belmhel ahmed my tel 0797611456

基于遗传算法的以最小二乘法为准则条件下的电动汽车与内燃汽车的成本对比(Cost comparison based on genetic algorithm, the least squares method for the guidelines under the conditions of electric vehicles with internal combustion automobile)

光子晶体matlab程序，有图像表示！比较长；可以仔细研究！(Photonic crystals matlab program, have images that!)

利用fragment实现分页效果,左边显示一个，右边显示另一个(The effect of the use of fragment implement paging)

The Best Blind MMSE Estimator

用遗传算法实现道路图像分割，运行良好，方法简单，欢迎下载(Road image segmentation using genetic algorithm, works well, simple methods are welcome to download)

time domain symptom extraction

一道程序编译顺序的考题，涉及到函数调用的先后顺序及运算符号的优先级等问题。下面我展开给你讲。 C的程序编译总是从main函数开始的，这道题的重点在“fun（（int）fun（a+c,b）,a-c）） ”语句。 系统首先要确定最外层 fun()函数的实参，第一个参数的确定需要递归调用fun()函数（不妨称其为内层函数）。内层函数的两个参数分别为x=a+b=2+8=10、y=b=5,执行函数体x+y=10+5=15,于是得外层函数的参数x=15。其另一个参数y=a-c=2-b=-6,再次执行函数体,得最终返回值x+y=15+(-6)=9。 (Compiling together the sequence of test procedures, involving the sequence of function calls and operator symbols, such as the priority problem. Now I give you to start speaking. Procedures for C compiler always start from the main function and at这道题the focus of " fun ((int) fun (a+ c, b), ac)) " statement. System must first determine the most outer layer of fun () function of real parameters, the first parameters of recursive calls required fun () function (may be called the inner function). Inner function separately for the two parameters x = a+ b = 2+8 = 10, y = b = 5, to execute the function body x+ y = 10+5 = 15, then the outer function parameters were x = 15 . Its another parameter y = ac = 2-b =- 6, once again to execute the function body may eventually return the value of x+ y = 15+ (-6) = 9.)

说明：  本代码编译环境为matlab，利用bp神经网络实现了建筑能耗预测，精度高，可扩展性好(This code the compiler environment Matlab, realize the building energy consumption prediction, by using the BP neural network has high precision, good scalability )