摘要
通过具体的实例,着重分析RBF神经网络和BP神经网络在面对较为复杂的不确定系统时对未知参数的逼近效果,此外也通过比较RBF神经网络和BP神经网络的异同,来详尽分析出RBF神经网络在函数逼近方面的优势和特点。
This paper through the concrete example,focuses on the analysis of approximation for the unknown parameters of uncertain systems RBF neural network and BP neural network in the face of more complex situation,but also through the comparison of RBF neural network and BP neural network,and analyzes of RBF neural network to approach the advantages and characteristics in terms of function approximation.
出处
《工业控制计算机》
2018年第5期119-120,共2页
Industrial Control Computer
关键词
人工神经网络
RBF神经网络
BP神经网络
函数逼近
artificial neural network
RBF neural network
BP neural network
function approximation
