A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed. 提出利用物质的荧光光谱联合人工神经网络识别大气中杂质气体成分的新方法。
Based on the neural network of orthogonal trigonometric series, an approach for harmonics measurement in power systems is presented in this paper. 摘要根据电力系统中非正弦周期电流的分解形式,提出了一种基于正交三角级数神经网络的谐波检测方法。