【摘要】 为了提高传统RBF神经网络的收敛速度、网络精度以及更好地满足实际需求,提出一个线性—非线性并列的新型结构的RBF神经网络模型,并且将该模型应用到水轮机数字协联模型的建立。实例表明,利用该模型对协联关系进行拟合,提高了精度,取得了较好的效果。由于改进后的RBF神经网络具有良好的性能,在许多领域具有应用前景。更多还原

【Abstract】 For improving convergent speed and precision of traditional RBF neural network and satisfying with practical requirement better,a new structural model of RBF neural network with linear & nonlinear parallel is presented,The model is applied in the establishment of the digital combination model of hydraulic turbine.The examples indicate that it fits combination relationship,improves precision,and acquires better effect.更多还原