摘要
给出了灰色系统与神经网络的一种新的结合方式—灰色补偿RBF神经网络。该网络利用RBF神经网络建立残差与数据间的映射关系,并采用其预测结果补偿灰色系统模型的预测值。仿真结果表明本方法优于其它灰色神经网络。
<Abstrcat> Gray compensating RBF neural network-a new kind of combining method of gray system and neural network was given. The network establishes the map relationship between remains and data by means of RBF neural network, and adapts its predicting results to compensate the predicting results of gray model. Simulation examples showed that this method was better than other gray neural network.
出处
《河北建筑科技学院学报》
2005年第2期103-105,共3页
Journal of Hebei Institute of Architectural Science & Technology
基金
国家自然科学基金项目(60474019)
