The technology of spectral recognition is key to spectral quapitative analysis . for quickly recognising spectral signal , the method of spectral recognition based on based on multiple features and neural network is adopted . the model transfer is a basic method to solve universal and comparable performance of spectrometers . the method based on support vector machine and piecewise direct standardization is put forward for solve the question of nonlinearity 、 small - sample 深入探討了光譜信號(hào)的識(shí)別問(wèn)題,對(duì)光譜識(shí)別的基本方法和光譜信號(hào)的特征提取方法進(jìn)行了相應(yīng)的分析研究,提出了采用多特征和神經(jīng)網(wǎng)絡(luò)構(gòu)建光譜識(shí)別框架的方法,以實(shí)現(xiàn)光譜信號(hào)的快速正確地識(shí)別。