Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/1687
Title: Forecasting of Retail Sales Data Using Differential Evolution
Authors: Majhi, Ritanjali
Panda, Ganapati
Majhi, Babita
Panigrahi, S. K.
Mishra, Manoj Ku.
Keywords: Sales forecasting
Differntial evolution
Issue Date: 2009
Publisher: 2009 World Congress on Nature and Biologically Inspired Computing, NABIC 2009 - Proceedings
Citation: 10.1109/NABIC.2009.5393740
Abstract: The paper aims to develop an efficient forecasting model using differential evolution (DE) based learning rule. The structure chosen is an adaptive linear combiner whose weights are trained using DE. The prediction performance of the resulting model is evaluated by feeding features of retail sales data for different months’ ahead prediction. These results are compared with those obtained by GA based approach. The comparison demonstrates improved prediction of sales data by the proposed DE method
Description: NITW
URI: http://localhost:8080/xmlui/handle/123456789/1687
Appears in Collections:School of Management

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