RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
Selected standard samples are trained, the stable weight values and threshold value of the system are obtained.
用选定的标准样本进行训练，得到稳定的权值和阈值。
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