福建电脑2025，Vol.41Issue(3)：40-44,5.DOI:10.16707/j.cnki.fjpc.2025.03.009
人工智能驱动下的乡村经济发展可视化探索
Visual Exploration of Rural Economic Development Driven by Artificial Intelligence
摘要
Abstract
To explore the current situation and future trends of rural economic development,and to conduct in-depth analysis of farmers'income,living standards,and differences between different industries,this article uses data visualization technology and neural network algorithms to visualize and analyze rural economic development data.By using backpropagation algorithm and gradient descent method,a recurrent neural network prediction model is constructed to predict the income of urban and rural residents and the total output value of agriculture,forestry,animal husbandry and fishery in China.The experimental results show that the recurrent neural network model has a small relative prediction error and good predictive ability.关键词
城乡居民收入/乡村经济/数据可视化/循环神经网络Key words
Urban and Rural Residents'Income/Rural Economy/Data Visualization/Recurrent Neural Network分类
信息技术与安全科学引用本文复制引用
郭子诚,杨灿,张洁,陈丹..人工智能驱动下的乡村经济发展可视化探索[J].福建电脑,2025,41(3):40-44,5.基金项目
本文得到福建农业职业技术学院2024年校级科技研究项目(No.2024JS024)资助. （No.2024JS024）
