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| Author: | Kuo, R. J. |
| Title: | A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm |
| Journal: | European Journal of Operational Research
2001 : MAR 16, VOL. 129:3, p. 496-517 |
| Index terms: | NEURAL NETWORKS FUZZY SETS FORECASTING SALES FORECASTING |
| Language: | eng |
| Abstract: | Sales forecasting is highly complex due to the influence of internal and external environments. However, reliable prediction of sales can improve the quality of business strategy. Recently, artificial neural networks (ANNs) have been applied for sales forecasting due to their promising performance in the areas of control and pattern recognition. However, further improvement is still necessary since unique circumstances such as promotion can cause sudden changes in sales patterns. Thus, the present study utilizes the proposed fuzzy neural network with initial weights generated by genetic algorithm (GFNN) for the sake of learning fuzzy IF-THEN rules for promotion obtained from marketing experts. |
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