针对汽轮发电机组振动振幅受运行参数及随机因素影响的特点，提出了用人工神经网络中的递推合成BP网络对汽轮机的振动故障进行多因素预测。
Vibration amplitude of steam turbine is affected by operation parameters and random factors, the paper Contributes a Prediction method using multifactor model of recurrent combined BP networks.
基于人工神经网络LM算法，建立了风力发电机组故障预警诊断模型。
Based on LM algorithm of an artificial neural network, a model for fault warning diagnosis of wind power units has been established.
基于人工神经网络LM算法，建立了风力发电机组故障预警诊断模型。
Based on LM algorithm of an artificial neural network, a model for fault warning diagnosis of wind power units has been established.
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