基于灰色神经网络的股指预测方法研究，使用灰色关联分析和神经网络结合对股票价格进行预测-Index based on gray neural network prediction method, using the gray relational analysis and neural networks to predict the stock price

遗传算法，很难学；有经典例子共享，变异和交叉以及选择，初始化种群-Genetic algorithm, it is difficult to learn a classic example of a shared mutation and crossover, as well as select, initialize the population

基于Matlab2007a平台,通过BP神经网络训练并进行预测股指，可以预测收盘、开盘、最大、最小等指标；分析实际值与预测值在振幅、均值、涨幅、隔天涨率、跳率、当天涨率等方面的变化 ，从而验证预测股指与实际股指变化趋势是否一致。提供了实验数据及格式说明和仿真结果-Based Matlab2007a platform by BP neural network training and forecast stock index, can p