Chem. J. Chinese Universities ›› 1997, Vol. 18 ›› Issue (6): 860.

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The Recognition of UV Spectra by Using Wavelet Neural Network

LIU Wei, XIONG Jian-Hui, WANG Hong, WANG Yong-Ming, PAN Zhong-Xiao, ZHANG Mao-Sen   

  1. Dept. of Applied Chem., Univ. of Sci. & Tech. of China, Hefei, 230026
  • Received:1996-06-03 Online:1997-06-24 Published:1997-06-24

Abstract: The wavelet neural network employed in signal recognltion is presented and ap-plied to recognltion of the UVspectra of tyrosine, 3, 4-dihydroxyphenylalanine and tryto-phane. In the network, Morlet mother wavelet and line search conjugate gradient optimiza-tion method are used- The convergence speed is fast and the error of learning sets drops to 0.000073 only through 8 iterations. The error of testing patterns is 0.000064- The recogni-tion results(shown in Table 1)show that the sets of spectra can be well recognized by using the wavelet neural network.

Key words: Wavelet neural networks, UV spectra, Recognition

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