为了提高汽轮机诊断系统的诊断速度与精度,提出了将量子粒子群算法和BP神经网络相结合的故障诊断方法。
To improving the diagnosed speed and accuracy of the steam turbine diagnose system, this paper proposes a method that combines QPSO with BP neural networks.
为了提高汽轮机诊断系统的诊断速度与精度,提出了将量子粒子群算法和BP神经网络相结合的故障诊断方法。
To improving the diagnosed speed and accuracy of the steam turbine diagnose system, this paper proposes a method that combines QPSO with BP neural networks.
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