高师理科学刊2025，Vol.45Issue(4)：27-33,40,8.DOI:10.3969/j.issn.1007-9831.2025.04.005
基于iWOA-iTransformer模型的物料需求预测
Material demand forecasting based on the iWOA-iTransformer model
摘要
Abstract
Traditional forecasting methods often cannot handle complex and nonlinear demand forecasting tasks,an iWOA-iTransformer model has been established to address this issue.By using an improved whale optimization algorithm to optimize the hyperparameters of the Transformer improved model,a nonlinear model suitable for multiple variables is established,namely iWOA-iTransformer model.The model was experimentally validated using the Alibaba Cloud Infrastructure Supply Chain Inventory Management Decision Dataset,and the results showed that the iWOA-iTransformer model has high accuracy in material demand forecasting.关键词
物料需求预测/iWOA算法/iTransformer模型Key words
material demand forecasting/iWOA algorithm/iTransformer model分类
计算机与自动化引用本文复制引用
胡昊,张剑飞..基于iWOA-iTransformer模型的物料需求预测[J].高师理科学刊,2025,45(4):27-33,40,8.基金项目
黑龙江省教育厅学科协同创新成果建设项目(LJGXCG2022-124) （LJGXCG2022-124）
