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(zhì)的熒光光譜聯(lián)合人工神經(jīng)網(wǎng)絡(luò )識別大氣中雜質(zhì)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，提出了一種基于正交三角級數神經(jīng)網(wǎng)絡(luò )的諧波檢測方法。
