Making use of the relative average of network prediction uncertainty, the quantitative analysis is carried out for the ability of generalization.
利用网络预测误差的相对平均值对神经网络的泛化能力进行了定量的分析。
The effluent treatment process was predicted with this BP neural network model with the average relative error of 19%, which indicates that the generalization power of the network is not so desirable.
利用BP神经网络模型实现了对造纸废水处理过程的预测,平均相对误差为19%,表明网络泛化能力不是很好。
The root mean square relative error, mean absolute relative error and maximize absolute relative error of SVM model generalization performance are 1.06%, 0.96% and 1.16%, respectively.
对SVM多元非线性回归泛化性能进行测试,其均方根相对误差为1.06%,平均绝对相对误差为0.96%,最大绝对相对误差为1.16%。
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