摘要
Aiming at solving the problem that it is challenging to choose the appropriate price adjustment strategy according to the market fluctuations,an adaptive price adjustment method based on dual deep fuzzy networks(DDFN)is designed.First,a price adjustment model based on DDFN is established.Through interactively learning the recycling market environment,the description of the mapping relationship between the market environment information and the price adjustment action is realized.Second,based on a greedy strategy to calculate the optimal price adjustment action,it is possible to make small adjustments based on the preliminary estimated value of the waste mobile phone,and complete the judgment of the mobile phone recycling price.Third,based on the market feedback,the gradient descent algorithm is used to update parameters of the model to improve the performance.The proposed adaptive price adjustment method based on DDFN is applied to the actual transaction process,and the results show that the proposed method can ensure the accuracy and reliability of the adjustment results of the mobile phone recycling price.
基金
supported by the National Key Research and Development Project(Grant No.2018YFC1900800-5)
the National Natural Science Foundation of China(Grant Nos.61890930-5,61903010,62021003 and62125301)
Beijing Natural Science Foundation(Grant No.KZ202110005009)
Beijing Outstanding Young Scientist Program(Grant No.BJJWZYJH 01201910005020)。
