本代码是采用BP神经网络 对上海港的集装箱吞吐量进行预测，内涵两个程序包，一个为训练网络，里一个是测试之用，请参考，希望有所帮助-This code is used BP neural network to predict the Shanghai Port' s container throughput, meaning the two packages, one for training the network, where one is testing purposes, pleas

通用的遗传算法，可实现以下问题：（a）设计出n种不同尺寸货品的排放方法，使得集装箱的空间利用率最高；（b）给出一批货物所需的最少集装箱数量。请给出在附件一对应具体问题下的最优排放及空间利用率。 -General genetic algorithm, can achieve the following questions: (a) design of size n different methods of emission goods, allowing maximum utilization

一个用于集装箱预测的广义自回归神经网络,效果挺好，也可以用于其他领域的非线性预测-It is a GRNN algorithm used to forecast container throughput with satisfactory performance, which can also be apllied in the other forecast areas.