Abstract: Modeling and prediction of solubility is a key to develop polymorph crystal growth and crystallization process. In this paper,by using a laser monitoring observation technique, solubilities of paroxetine hydrochloride hemihydrate in various solvents were determined by the synthetic method and a multiparameter artificial neural network (ANN) approach was used to predict the solubility of solute in different solvents. The ANN predicted the logarithmic solubility of paroxetine hydrochloride hemihydrate with average error of 0.7%. The results showed that artificial neural network could be useful when no data is available.