文章基本信息

标题：Grid search of multilayer perceptron based on the walk-forward validation methodology
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作者：Tran Thanh Ngoc ; Le Van Dai ; Dang Thi Phuc 等
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2021
卷号：11
期号：2
页码：1742
DOI：10.11591/ijece.v11i2.pp1742-1751
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Multilayer perceptron neural network is one of the widely used method for load forecasting. There are hyperparameters which can be used to determine the network structure and used to train the multilayer perceptron neural network model. This paper aims to propose a framework for grid search model based on the walk-forward validation methodology. The training process will specify the optimal models which satisfy requirement for minimum of accuracy scores of root mean square error, mean absolute percentage error and mean absolute error. The testing process will evaluate the optimal models along with the other ones. The results indicated that the optimal models have accuracy scores near the minimum values. The US airline passenger and Ho Chi Minh city load demand data were used to verify the accuracy and reliability of the grid search framework.