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基于RBF神经网络的股市预测及MATLAB实现
引用本文:乐励华,温荣生,朱辉.基于RBF神经网络的股市预测及MATLAB实现[J].科技情报开发与经济,2008,18(30):151-152.
作者姓名:乐励华  温荣生  朱辉
作者单位:东华理工大学数学与信息科学学院,江西抚州,344000
摘    要:RBF网络是一种有效的前向型神经网络,适合于非线性时间序列金融系统的预测。以中国银行的实际收盘价作为预测对象,介绍了基于MATLAB的RBF神经网络应用。

关 键 词:RBF神经网络  股市预测  MATLAB

Stock Market Forecast Based on RBF Neural Network and MATLAB Realization
LE Li-hua,WENn Rong-sheng,ZHU Hui.Stock Market Forecast Based on RBF Neural Network and MATLAB Realization[J].Sci-Tech Information Development & Economy,2008,18(30):151-152.
Authors:LE Li-hua  WENn Rong-sheng  ZHU Hui
Institution:LE Li-hua, WENn Rong-sheng, ZHU Hui
Abstract:RBF(Radial Basis Function) neural network, which is a kind of effective feed forward neural networks, adapts to nonlinear financial time series forecast. This paper introduces the application of RBF neural network based on MATLAB taking the actual closing price of Bank Of China as forecasting object.
Keywords:MATLAB
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