提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
采用系统辨识的最小二乘法的改进算法，确定了一种用模糊关系矩阵表示电力变压器故障诊断模型。
According to the modified least square algorithm of system identification technique, a diagnostic model of power transformer fault is determined and described by fuzzy relation matrix.
然后文章提出用遗传算法来优化神经网络结构，从而从整体上提升疾病诊断模型的性能。
Acordingly, it proposed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
在研究蚁群优化神经网络训练算法的基础上，建立了矿井提升机减速器齿轮故障诊断模型。
On the basis of researching the optimization of neural network through ant colony algorithm, the mine hoist reducer gear failure diagnosis model is 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.
采用模糊数学和BP神经网络结合的算法对此诊断模型进行求解，并对模型的有效性进行了分析。
The algorithm adopting blurs mathematics and BP neural network is used, the affectivity of model is analyzed.
采用模糊数学和BP神经网络结合的算法对此诊断模型进行求解，并对模型的有效性进行了分析。
The algorithm adopting blurs mathematics and BP neural network is used, the affectivity of model is analyzed.
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