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基于菌群RBF神经网络的股票价格预测
引用本文:缪凯,陈芳,赵志刚. 基于菌群RBF神经网络的股票价格预测[J]. 青岛大学学报(自然科学版), 2007, 20(2): 50-54
作者姓名:缪凯  陈芳  赵志刚
作者单位:青岛大学,信息工程学院,青岛,266071;青岛大学,经济学院,青岛,266071
摘    要:利用菌群算法提出了一种新的菌群RBF神经网络算法,并将其应用到股票价格预测,同时在预测中引入了技术指标模型。仿真试验表明,相比于传统的RBF神经网络算法,菌群RBF神经网络算法可以得到更好的训练效率和预测结果。

关 键 词:菌群RBF神经网络  股票  预测
文章编号:1006-1037(2007)02-0050-05
收稿时间:2006-12-04
修稿时间:2006-12-04

Stock Price Forecast Based on Bacterial Colony RBF Neural Network
MIAO Kai,CHEN Fang,ZHAO Zhi-gang. Stock Price Forecast Based on Bacterial Colony RBF Neural Network[J]. Journal of Qingdao University(Natural Science Edition), 2007, 20(2): 50-54
Authors:MIAO Kai  CHEN Fang  ZHAO Zhi-gang
Affiliation:1. College of Information Engineering, Qingdao University, Qingdao 266071, China; 2. School of Economics, Qingdao University, Qingdao 266071, China
Abstract:A new Bacterial Colony Radial Basis Function Neural Network(RBFNN) algorithm,which was applied to forecast the stock price,was proposed on the basis of the bacterial colony algorithm,and a technological index model was introduced in the forecast.Experimental results show that the new algorithm can obtain the higher training efficiency and better forecasting results than the traditional RBFNN algorithm.
Keywords:RBF(radial basis function) neural network  bacterial colony RBF neural network  stock  forecast
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