The results indicate that the method is feasible and the prediction capability of ANFIS is superior to the RBF network.
结果表明，利用神经网络进行可靠度时序预测是可行的，并且ANFIS的预测能力要优于rbf。
The results show that, ANFIS is a powerful tool for modelling human error risks, it not only improves the forecast accuracy, but saves time.
结果表明，ANFIS对于人因失误风险评价来说是一个强有力的工具，不仅提高了预测的精度而且节省了时间。
By training and checking of ANFIS, the results prove that the adaptive neuro-fuzzy controller has high precision and good effect of controlling.
通过对ANFIS的训练及检验，结果表明，该自适应神经模糊控制器具有较高的控制精度，控制效果较好。
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