An efficient model based on radial basis function neural network and intelligent estimating method for data fusion of the turbine-generator is presented.
该文提出一个有效的基于径向基函数神经网络的模型和状态数据融合的汽轮发电机智能估计方法。
Among them, the Radial Basis Function (RBF) neural network is a better model.
在这些预测模型中性能比较突出的是径向基函数网络(rbf)法。
Using RBF (Radial Basis Function) network as the soft-sensing model, its natural to introduce regularization learning algorithm.
以径向基函数神经网络作为软测量模型，在软测量建模中引入正则化学习算法。
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