基于遗传神经网络的股指预测

股票市场是一项集合许多市场复杂因素的活动，股票分析的方法非常多。将遗传算法用于BP神经网络的训练过程对股票价格的预测，设计一个三层的BP神经网络，优化网络输入，在传统BP神经网络的基础上加入遗传算法。通过实例分析及实际结果表明这种BP神经网络的准确性和科学性。

Stock Index Prediction Based on Genetic Neural Network

The stock investment is a very complex activity. There are many ways of stock analysis method. Uses genetic algorithm for the training process of BP neural network prediction of stock price. And designs a three layers BP neural network, optimizes the network inputs. Adds the genetic algorithm based on the traditional BP neural network. And uses the example analysis and the actual results to show the accuracy and the scientific nature of this kind of BP neural network.