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 t heir performance was evaluated by using both synthetic and experimental dat a. It was found that the storage space of the spectral information under st udy could be reduced significantly by using the proposed RNN method with du ality spectra regenerated from the compressed data. Furthermore, the method was found to perform as good as the wavelet, transform (WT) in data compre ssion and in some cases, even better. (C) 2000 Elsevier Science B.V. All ri ghts reserved.