Abstract: BP neural network is used to fit the nonlinear function of spectral plane position versus wavelength for the known light source in prism spectrograph. The comparison of iron spectra is omitted to measure unknown spectral wavelength. The quantitative spectral analysis is simplified. The level of automation and intellection for instrument is improved.

Key words: BP neural networks, learning algorithm, prism spectrograph