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

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