NDLI: A model for sales forecasting based on fuzzy clustering and Back-propagation Neural Networks with adaptive learning rate

Content Provider	IEEE Xplore Digital Library
Author	Hicham, A. Mohamed, B. Abdellah, E.F.
Copyright Year	2012
Description	Author affiliation: Laboratory LIST, Group Research in Computing and Telecommunications (ERIT) FST, BP : 416, Old Airport Road, Tangier, Morocco (Hicham, A.; Mohamed, B.) \|\| LITT, Group Research in Computing and Logistic (ERIT) ENSA, Mhannech II, BP : 2121, Tetouan, Morocco (Abdellah, E.F.)
Abstract	This paper attempts to describe hybrid sales forecasting system based on fuzzy clustering and Back-propagation (BP) Neural Networks with adaptive learning rate (FCBPN). The proposed approach is composed of three stages: (1) Winter's Exponential Smoothing method will be utilized to take the trend effect into consideration;(2) utilizing Fuzzy C-Means clustering method, the clusters membership levels of each normalized data records will be extracted; (3) Each cluster will be fed into parallel BP networks with a learning rate adapted as the level of cluster membership of training data records. Compared to many researches which use Hard clustering, we employ fuzzy clustering which permits each data record to belong to each cluster to a certain degree, which allows the clusters to be larger which consequently increases the accuracy of the proposed forecasting system. Therefore, it is a very promising solution for industrial forecasting.
Starting Page	1
Ending Page	5
File Size	383906
Page Count	5
File Format	PDF
ISBN	9781467347648
e-ISBN	9781467347662
DOI	10.1109/ICoCS.2012.6458593
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-05
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hybrid intelligence approach Adaptation models Adaptive systems Fuzzy system Back propagation network Predictive models Sales forecasting Forecasting Training Fuzzy clustering Printed circuit boards Neural networks Marketing and sales
Content Type	Text
Resource Type	Article

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