Sales forecasting using time series and neural networks

Sales forecasting system based on Gray extreme learning machine with Taguchi method in retail industry

“…Moreover, it employed a heuristics method to choose the number of hidden units. Ansuj, Camargo, Radharamanan, and Petry (1996) expressed a comparison made for the time-series model with interventions related to the ANN model for analyzing the sales behavior of a medium-size enterprise. The results showed that the ANN model was more accurate.…”

Gray relation analysis and multilayer functional link network sales forecasting model for perishable food in convenience store

“…This indicates that the ANNs model is more appropriate for time series data. Ansuj, Camargo, Radharamanan, and Petry (1996) expressed a comparison made for the time series model with interventions related to the ANNs model for analyzing the sales behavior of a medium-size enterprise. The results showed that the ANNs model was more accurate.…”

An Investigation of Forecasting Critical Spare Parts Requirement

“…Lin and Yang [8] forecast accurately the output value of Taiwan's opto-electronics industry through grey forecasting model. Ansuj et al [9] used time series models and BPN to predict the behaviors of sales, the result indicated BPN had better prediction performance than time series models. Law [10] utilized BPN to forecast the demand of tourism, the result indicated that the BPN has higher forecasting accuracy than time-series models, feed-forward neural networks, and regression models.…”