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    【要点】：论文提出了一种结构优化的模拟退火粒子群神经网络方法，用于提高机载武器中光电目标探测器的故障诊断准确率。
    

    【方法】：通过模拟退火粒子群算法调整网络权值，并根据神经元间的相对重要度和等效连接关系优化网络连接结构，同时引入神经元增益建立准则优化隐节点数。
    

    【实验】：使用光电目标探测器的采集数据进行实验，结果表明该方法能有效提高故障诊断的准确率，但论文未提及具体的数据集名称。