The maximalerror is 7.4% in terms of two-dimension characteristic monitoring tool wear and the method can meet the need of generic project by the example.
经过实例检验,根据二维特征检测刀具磨损的最大误差在7.4%之内,可满足一般工程要求。
2
The average of error in the ANN of this paper was not overrun 0.007, and the maximalerror was not overrun 0.02, the result of the error could be accepted by engineering.
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 maximalerror validated is under 10%.