...峰值法云变换;;RBF神经网络;;不确定性分类 [gap=1223]: high-dimensional cloud model;forward cloud generator;backward cloud generator;peak-based cloud transform;RBF neural network;uncertainty classification ..
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Then,by using peak-based cloud transform and high-dimensional cloud algorithm,the optimal neurons of hidden layer were adaptively determined.
通过峰值法云变换和高维云算法自适应地确定最优隐含层神经元。
参考来源 - 基于高维云模型和RBF神经网络的遥感影像不确定性分类方法·2,447,543篇论文数据,部分数据来源于NoteExpress
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