摘要
在系统分析了遗传算法和神经网络的基础上,提出了一种自适应遗传神经算法与结合模型,并对基金走势进行了模型预测。实验数据表明:该算法收敛速度快,具有实际应用价值。
In this paper the adaptive genetic neural algorithm and combining model are presented based on researching into genetic algorithm and neural network,and fund trend is predicted by the model.The experiment data show that the algorithm converges quickly and is applicable.
出处
《武汉理工大学学报》
CAS
CSCD
北大核心
2010年第1期107-110,122,共5页
Journal of Wuhan University of Technology
关键词
自适应遗传神经算法
建模与预测
基金走势预测模型
adaptive genetic neural algorithm
modeling and forecasting
fund trend prediction model
