For RBF neural network model, which is more effective to monitoring weld quality than the others, the average error validated is 2.28% and the maximal error validated is under 10%.
径向基函数神经网络模型的监测准确率高于其他两种模型，其平均验证误差为2.28%，最大验证误差低于10%。
Certain error exists in the data collected from multisensor network that impacts the reliability of dam safety monitoring.
多传感器网络中采集的数据存在一定程度的误差，影响了大坝安全监测的可靠性。
应用推荐