When using bp neural network deals with the data of the big numerical value like cost , using common methods of changing concealed node number etc . do n ' t improve the things that the simulated curve is low precision or transpires . so data processing course of network is investigated . a new data processing method is advanced to apply graphics zoom theory 在用bp神經網絡進行建模的過程中,發(fā)現(xiàn)對處理費用這種大數值數據時,采用通過改變隱層節(jié)點數等常用方法,都無法改善擬合的曲線精度低或出現(xiàn)發(fā)散這樣的情況,為此通過研究網絡的數據處理過程,提出了一種在網絡運行前后應用圖形圖像縮放原理來對數據進行處理的新方法,實例證明了該方法的可行性和有效性。