Abundant water demand predicting factors were used as the input data of the model, and the RBF neural network output the water demand predicting values.
预测结果表明，径向基函数神经网络需水预测模型运算速度快，有较高的预测精度。
Through study of changes in the network output, it was found that different images output different curves (surfaces) while identical or similar images output basically the same.
研究网络的输出变化情况，发现不同的图像得到的输出曲线（面）不同，相同或类似的图像输出结果基本相同。
Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.
通过仿真，与前馈时延网络与对角递归网络的比较研究，说明了在实时故障诊断系统中输出递归网络结构的优越性。
Comparing with time delayed feedforward network and diagonal recurrent network, output recurrent network shows its advantages in real-time fault detection system.
通过仿真，与前馈时延网络与对角递归网络的比较研究，说明了在实时故障诊断系统中输出递归网络结构的优越性。
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