发现基于概率神经网络的结构损伤定位方法能够正确识别单一位置损伤，且组合参数作为输入指标时的识别效果更好。
The result indicates that probabilistic neural networks can localize the single damage correctly, and the networks with the compounded index show better effectiveness.
基于径向基概率神经网络，提出一种扫描工程图纸图像分割后的图形符号识别方法。
A novel graphic symbol recognition approach of engineering drawings based on radial basis probabilistic neural networks (RBPNN) is proposed.
针对疲劳裂纹扩展寿命失效概率计算的复杂性，提出基于神经网络响应面的可靠性分析方法。
In response to the complexity of calculation for failure probability regarding fatigue crack growth life, a method for reliability analysis based on neural network response surface was presented.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
This paper presents an efficient training algorithm for probabilistic neural networks using the minimum classification error criterion.
提出了一种基于最小分类错误准则的概率神经网络的训练算法。
This paper presents a training algorithm for probabilistic neural networks using the MCE criterion.
鉴于概率神经网络良好的分类性能，提出一种基于PNN的飞机发动机故障诊断方法，成功对三种典型飞机发动机转子故障做出了正确诊断。
Probabilistic neural network is good at classifying, we proposed a new method for aeroengine fault diagnosis based on PNN, and it can diagnose three typical aeroengine rotor fault accurately.
说明用概率神经网络对基于空间桁架传力机理的桩承台进行损伤识别是可行的。
It is feasible that using PNN to identify damage of pile cap which is based on the space truss load transfer mechanism.
说明用概率神经网络对基于空间桁架传力机理的桩承台进行损伤识别是可行的。
It is feasible that using PNN to identify damage of pile cap which is based on the space truss load transfer mechanism.
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