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.　©　2019,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.