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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 |
Files in This Item:
File | Description | Size | Format | |
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Forecasting_of_retail_sales_data_using_differential_evolution.pdf | 202.79 kB | Adobe PDF | View/Open |
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