推荐下载采用热核构造权重程序

说明：  This is code to simulation of AM, FM, PSK, QAM modulation

说明：  BP网络对负荷值进行预报。在预测日的前一天，每隔两个小时对电力负荷进行一次测量，一天共得到12组测量数据。并将前一天的负荷数据作为网络的样本数据。(System for forecasting of electric load.The day before the forecast day, every two hours of electricity load time measurements a day, a total of 12 groups of measurement data. And the previous day s load data as the sample data of the network.)

相关向量机（RVM） 预测 MATLAB小程序(Correlation vector machine,predictive, MATLAB)

说明：  这个代码是GPC的源程序，可以直接进行GPC仿真。(The GPC of the source code can be directly GPC simulation.)

在matlab中编程实现求解二维抛物线方程的程序TDE。(Programming in matlab program for solving two-dimensional parabolic equation TDE.)

用MATLAB实现哈夫曼编码的例程（以子函数形式给出） NORM2HUFF 哈夫曼编码器 对于输入向量，NORM2HUFF(X) 返回向量的哈夫曼编码后的码串()

基于小波变换的PSK信号符号率估计的matlab程序(Based on Wavelet Transform PSK Symbol Rate Estimation signal matlab program)

说明：  matlab与 人工神经网络2007 配套源程序(matlab and artificial neural network supporting source, 2007)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)

This is a code for AODV Routing. It works with matlab. Enjoy it.