Compression of ultraviolet-visible spectrum with recurrent neural network
Data compression method based on the recurrent neural network (RNN) of the dynamical system approach was proposed and applied to ultraviolet-visible (UV-VIS) spectra. RNN schemes with different network size were studied and their performance was evaluated by using both synthetic and experimental data. It was found that the storage space of the spectral information under study could be reduced significantly by using the proposed RNN method with duality spectra regenerated from the compressed data. Furthermore, the method was found to perform as good as the wavelet, transform (WT) in data compression and in some cases, even better. (C) 2000 Elsevier Science B.V. All rights reserved.
ultraviolet-visible spectrum recurrent neural network spectral compression