CAJ | 학술논문

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。
고표시장시일항집합허다시장복잡인소적활동，고표분석적방법비상다。장유전산법용우BP신경망락적훈련과정대고표개격적예측，설계일개삼층적BP신경망락，우화망락수입，재전통BP신경망락적기출상가입유전산법。통과실례분석급실제결과표명저충BP신경망락적준학성화과학성。
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.