基于ARIMA-LSTM的产品需求预测方法Product Demand Prediction Method Based on ARIMA-LSTM
江旭东, 董宝力
建模与仿真Vol.12 No.4, 全文下载: PDF HTML XML DOI:10.12677/MOS.2023.124321, July 12 2023
生成式人工智能赋能农产品电子商务产业发展研究Research on the Empowerment of Agricultural Product E-Commerce Industry Development by Artificial Intelligence Generated Content
刘厚与
电子商务评论Vol.14 No.1, 全文下载: PDF XML DOI:10.12677/ecl.2025.141175, January 14 2025
基于粒子群优化与BP神经网络的电动物流车充电需求预测Prediction of Charging Demand for Electric Logistics Vehicles Based on Particle Swarm Optimization and BP Neural Network
于泽霞, 刘华琼
电力与能源进展Vol.13 No.1, 全文下载: PDF XML DOI:10.12677/aepe.2025.131002, February 13 2025
组合模型支持下S省生鲜农产品物流需求预测分析Analysis of Fresh Agricultural Products Logistics Demand Forecasting in Province S with the Support of Combination Modeling
许嘉宝
电子商务评论Vol.13 No.4, 全文下载: PDF XML DOI:10.12677/ecl.2024.1341184, October 17 2024
基于不同模型的福建省物流需求预测比较研究Comparative Study on Logistics Demand Forecasting in Fujian Province Based on Different Models
王翔雨
电子商务评论Vol.13 No.4, 全文下载: PDF XML DOI:10.12677/ecl.2024.1341858, November 29 2024
ARIMA乘积季节模型在新疆肺结核发病预测中的应用Application of ARIMA Multiplicative Seasonal Model in the Prediction of Pulmonary Tuberculosis Incidence in Xinjiang
姚艳茹
统计学与应用Vol.11 No.4, 全文下载: PDF HTML XML DOI:10.12677/SA.2022.114077, August 2 2022