Experimental results show that it has a small average error rate and good unbiasedness, it can still complete data under severe missing circumstance. 实验结果表明,该算法平均误差率(AER)较小,无偏性较好,在数据缺失较为严重的情况下也能完成填补。
The algorithm was put into experiment, with much lower average error rate and higher stability. 并在此基础上对其进行实验评估,表现出较低的平均误差率(AER)和较高的稳定性。
Finally, MatLab as a simulation platform, before and after the RSSI algorithm for improving the average error rate for the comparative analysis of the final design process on the subject of the harvest and the results of the study to be summarized. 最后,以MatLab为仿真平台,对改进前后RSSI算法的平均误差率(AER)进行了对比分析最后就课题设计过程中的收获和研究的结果予以总结。
It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1 % and the convergence speed raised by 3 times. 结果表明,小波神经网络方法比传统BP网络方法平均预测误差减小了1%,收敛速度加快了3倍。
A large number of experimental results have shown that this method can get good performance on most of the data sets, and the average error rate is better than the genetic algorithm that was implemented on Weka platform. 大量的实验同时表明这种方法在绝大部分数据集上都有良好的性能,并且其平均错误率优于Weka平台上已实现的那种基于遗传算法的属性选择方法。