A wavelet-based fuzzy neural network（FWNN） for the interval estimation of processed data isproposed in this paper.The structure of the FWNN is based on the fuzzified wavelet neural network and thelearning algorithm is LP method which is an interval learning algorithm that makes the outpot of the trained netan interval and which provides an alternative approach to get the wavelat coefficient .