Abstract: To obtain the accurate price of waste mobile phones in the recycling process, a value assessment method, based on the fuzzy neural network (FNN) was proposed in this paper. First, a characteristic extraction method was designed by using the principal component analysis (PCA) to obtain the key characteristic variables of price for recycling waste mobile phones. Second, a value assessment model was established by using a FNN to describe the nonlinear relationship between the recycling price and the key characteristic variables. Third, an adaptive second-order parameter learning algorithm (ASOPLA) was proposed to improve the adaptive capability of the value assessment model. Finally, the proposed value assessment method was applied to a real transaction process. Results demonstrate that this proposed value assessment method can obtain the accurate price of waste mobile phones.