Generalization by weight-elimination with application to forecasting
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
An investigation of the use of feedforward neural networks for forecasting
An investigation of the use of feedforward neural networks for forecasting
Data mining with neural networks: solving business problems from application development to decision support
Sales forecasting using time series and neural networks
CIE '96 Proceedings of the 19th international conference on Computers and industrial engineering
An investigation of neural networks for linear time-series forecasting
Computers and Operations Research
Fuzzy Delphi and back-propagation model for sales forecasting in PCB industry
Expert Systems with Applications: An International Journal
Strategic group identification using evolutionary computation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An intelligent fast sales forecasting model for fashion products
Expert Systems with Applications: An International Journal
Proceedings of the Winter Simulation Conference
A multivariate intelligent decision-making model for retail sales forecasting
Decision Support Systems
Applicability of ARIMA Models in Wholesale Vegetable Market: An Investigation
International Journal of Information Systems and Supply Chain Management
Fast fashion sales forecasting with limited data and time
Decision Support Systems
Hi-index | 12.06 |
In managing convenience store, making the right decision in placing a balanced order is a critical job that can enhance the competition of the corporation, especially in perishable food. In this study, the GMFLN forecasting model integrates Gray relation analysis (GRA) which sieves out the more influential factors from raw data then transforms them as the input data in the multilayer functional link network model to provide the more accurate forecasting results to support the decisions. The proposed system evaluated the real data, which are provided by famous franchise company, and the experimental results indicated the GMFLN model outperforms than other different time series forecasting models, i.e. the moving average model, ARIMA model and GARCH model in MAD and THEIL indexes.