利用遗传算法优化BP神经网络权值和阈值，然后进行训练，利用训练好的模型进行预估。附实例-The use of genetic algorithm to optimize BP neural network weights and thresholds, and then training, training a good use of forecast models. Attached examples

matlab 数值处理实例,应用于各种数值处理算法，有相应的程序目录.-matlab numeric computation examples, with various numeric methods inclued.

时域有限差分算法的matlab代码，用于探地雷达正演模拟，包含反射和透射两个实例-FDTD algorithm matlab code for forward simulation of ground penetrating radar, including two instances of reflection and transmission

EGO算法是基于kriging模型的全局优化方法，不通过函数而是通过样本模型寻优，文件给出实例，加载相应的工具箱即可。(EGO algorithm is a global optimization method based on Kriging model. Instead of function, it is optimized by sample model. The example is given in file, and the corresponding toolbox can be

一个短时的电力流量预测，Elman算法与神经网络结合的实例(A short time traffic flow prediction, an example of the combination of Elman algorithm and neural network)