针对混沌时间序列的解析方程的不确定性，本文提出了Anfis量子组合预测网络。此网络不依赖混沌时间序列的确定性方程和初始条件，根据给定的训练数据，先采用Anfis网络对训练数据进行处理，再与量子神经网络组合预测，从而提高预测能力和精度。最后以MackeyGlass混沌时间序列进行实验，结果表明Anfis量子网络具有良好的局部泛化能力，其预测精度明显高于BP神经网络和量子神经网络。

A combination forecast network of the Anfisquantum which are suggested in view of the uncertainty of the chaotic time series analysis equation. The qualitative equation and initial condition of the chaotic time series are not related to the network. For improving the ability and accuracy of forecast,the training data is beforehand handled by the network of Anfis, and is then forecasted by the quantum network. The results of the experiment of the chaos time series of the MackeyGlass indicate the Anfisquantum network is characterized by its superior generation ability, and its predictability precision is obviously higher than that of the BP network and that of the quantum network.