本研究将概率神经网络（probabilistic neural network，PNN）用于芳酰类化合物抗癌活性的模式识别，结果满意。
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本研究将概率神经网络 probabilistic neural network ; PNN
然后将构件损伤引起的标准化的损伤信号指标输入概率神经网络，进行损伤构件所在侧面及所在层的判定；
Secondly, the profile and layer of the damaged member is also determined by probabilistic neural network with input of the normalized damage-signal index.
在控制系统中，将贝叶斯概率引入到模糊rbf神经网络中，增强了系统的推理能力，提高了飞机各个航道位置的模拟伺服精度。
In the control system, Bayes probability is introduced in the fuzzy RBF neural network and it intensity the inference ability and increase the servo precision.
将改进的概率神经网络(PNN)用于奇异摄动系统的实时状态估计，注重针对系统快变部分的滤波。
Probabilistic Neural Networks (PNN) is improved and used on line to estimate the states of singular perturbed systems, especially to the fast states of the systems.
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