2013
DOI: 10.3844/jcssp.2013.949.966
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A Novel Approach Based on Genetic Fuzzy Clustering and Adaptive Neural Networks for Sales Forecasting

Abstract: This article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and BackPropagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter's Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy rules of membership levels to each cluster will be extracted; (3) each cluster will… Show more

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