IRIS

说明：  演示小球沿预定轨道滑动的matlab程序(Demonstration of small ball sliding along the orbit of the matlab program)

Implementacao da rede MLP canonica (backpropagation com gradiente descendente) beleain

Conceptually, a merge sort works as follows Divide the unsorted list into n sublists, each containing 1 element (a list of 1 element is considered sorted). Repeatedly merge sublists to produce new sorted sublists until there is only 1 sublist remaining. This will be the sorted list.

运用matlab软件可实现矩阵的最优聚类数的计算(Using matlab software can realize the matrix calculation of the optimal number of clusters)

这是关于用MATLAB实现遗传算法程序的原理介绍，包括也选择、交叉、变异等算子的程序。(This is about using MATLAB genetic algorithm program to achieve the principle of description, including also selection, crossover and mutation operators of the program.)

说明：  这个程序属于matlab里面的画图功能，里面包含很多小功能(This process belongs to the drawing inside the matlab function, which contains many small features)

ofdm signal to noise ratio

线性调频信号脉压的编码程序，基础程序可以好好学习下，希望有帮助！(LFM pulse compression coding procedures, based on the program can learn under, want to help!)

旗帜型滞回模型，输入地震波（txt），弹塑性时程分析(Flag shape hysteresis model, time history analysis)

模拟退火算法的基本思想是从一给定解开始,从邻域中随机产生另一个解,接受Metropolis准则允许目标函数在有限范围内变坏,它由一控制参数t决定,其作用类似于物理过程中的温度T,对于控制参数的每一取值,算法持续进行“产生—判断—接受或舍去”的迭代过程,对应着固体在某一恒定温度下的趋于热平衡的过程,当控制参数逐渐减小并趋于0时,系统越来越趋于平衡态,最后系统状态对应于优化问题的全局最优解,该过程也称为冷却过程,由于固体退火必须缓慢降温,才能使固体在每一温度下都达到热平衡,最终趋于平衡状态,因此控制参数t经缓慢衰减,才能确保模拟退火算法最终优化问题的整体最优解。(Simulated annealing algorithm based on the idea that a given solution from the beginning, randomly generated from the adjacent domain to another solution, Metropolis acceptance criteria for the objective function to allow a limited range of deterioration, which is a control parameter t decided that its role is similar to the physical the course of the temperature T, the control parameters for each value, the algorithm continued to "have- to determine- to accept or rounding" of the iterative process, corresponding to a solid at a constant temperature of the process tends to thermal equilibrium, when control parameters and tended to decrease gradually 0:00, the system equilibrium state more and more, and finally the system state corresponds to the optimization problem of global optimal solution, the process is also known as the cooling process must be slow as a result of annealing temperature of solid to make solid temperature in each of them had attained thermal equilibrium, and ultim)