Here used the PNN neural network to determine the position and RBF neural network identify the section stiffness of steel supports.
位置的确定采用PNN神经网络，截面刚度的识别采用RBF神经网络。
This paper presents a attribute seismic inversion Based on PNN neural network that can develop the advantages of the techniques mentioned above.
本文提出了一种基于PNN神经网络的多属性地震反演技术，可以比较好地发挥两者的优势。
In order to validate character validity, use NearestNeighbor (NN) and probabilistic neural network (PNN) classification identify target, gain content identification probability.
为了验证特征的有效性，使用最近邻及概率神经网络分类器进行了目标识别，得到满意的识别率。
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