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。
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.
出处
《科技情报开发与经济》
2008年第30期151-152,共2页
Sci-Tech Information Development & Economy
