A new method for recognizing gas components in air based on nonlinear fluorescence spectra combined with a neural network model was proposed. 提出利用物質的熒光光譜聯合人工神經網路識別大氣中雜質氣體成分的新方法。
Based on the neural network of orthogonal trigonometric series, an approach for harmonics measurement in power systems is presented in this paper. 摘要根據電力系統中非正弦周期電流的分解形式，提出了一種基於正交三角級數神經網路的諧波檢測方法。
