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针对动态多层神经网络结构，运用自适应向量遗忘因子递推预报误差算法（ＡＶＦＦＲＰＥ）对贯流式水力机组进行了在线建模研究．研究结果证实了该算法的有效性．
Aiming at the structure of dynamic multi-layer neural network, on-line modeling of tubular turbine is carried out by adaptive vector forgetting factor recursive forecasting error algorithm (AVFFRPE). The result of the research confirms the validity of the algorithm.