Abstract: Radial basis function neural network (RBFNN) based on chromatographic peakshape functions and spectral lineshape functions has been constructed. A genetic algorithm based on feasible field constraint and shared niche technique is introduced to enable this RBFNN to acquire the ability of reconstruction. Next the RBFNN was introduced into the resolution of overlapped peaks of spectrum. This paper tries to build up a integrative frame suited to the resolution of spectrum and chromatogram, and partial results have been obtained.

Key words: RBF neural network, genetic algorithm, spectrum, overlapped