viafcccy / ScatteredLiquidComponentAnalysisApproachLinks
主要提出了一种从多谱线特征层融合角度提出了基于格拉姆 角场(Gramian angular field)与多尺度卷积神经网络(multi-scale convolutional neural network)的光谱特征提取方法,使用格拉姆角场将一维光谱信号变换为二维图像增强了信号特征,使用多尺度卷积神经网络提取图像特征,利用特征向量回归计算金属离子浓度。
☆22Updated last year
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