Article: Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies Journal: International Journal of Data Science (IJDS) 2025 Vol.10 No.7 pp.190 - 210 Abstract: For the development of rural economy, accurately predicting the demand and price trend of agricultural products will help investors optimise their trading strategies and provide scientific reference for the government's macro-control. This paper focuses on the application of intelligent algorithm in the accurate assessment and effect prediction of rural economic development policies, and puts forward a deep learning (DL) model that integrates deep belief network (DBN) and long-term and short-term memory network (LSTM) for the joint prediction of agricultural product demand and price. The model integrates multi-source sales data from e-business platform, and combines historical transaction records, market supply and demand relationship and external environmental factors to build a learning framework with temporal and spatial characteristics. The results show that the proposed model is significantly superior to traditional statistical methods such as random forest (RF) in many forecasting indexes, and has higher forecasting accuracy and stability. Inderscience Publishers - linking academia, business and industry through research

Title: Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies

Authors: Li Tao; Huanhuan Ding

Addresses: School of Economics and Management, Jingchu University of Technology, Jingmen, 448000, China ' School of Management, Guangzhou Xinhua University, Guangzhou, Guangdong, 510520, China; UCSI Graduate Business School, UCSI University, 56000, Cheras, Kuala Lumpur, Malaysia

Abstract: For the development of rural economy, accurately predicting the demand and price trend of agricultural products will help investors optimise their trading strategies and provide scientific reference for the government's macro-control. This paper focuses on the application of intelligent algorithm in the accurate assessment and effect prediction of rural economic development policies, and puts forward a deep learning (DL) model that integrates deep belief network (DBN) and long-term and short-term memory network (LSTM) for the joint prediction of agricultural product demand and price. The model integrates multi-source sales data from e-business platform, and combines historical transaction records, market supply and demand relationship and external environmental factors to build a learning framework with temporal and spatial characteristics. The results show that the proposed model is significantly superior to traditional statistical methods such as random forest (RF) in many forecasting indexes, and has higher forecasting accuracy and stability.

Keywords: artificial intelligence; intelligent algorithm; rural economic development; accurate policy assessment; effect prediction.

DOI: 10.1504/IJDS.2025.151189

International Journal of Data Science, 2025 Vol.10 No.7, pp.190 - 210

Received: 06 May 2025
Accepted: 18 Jul 2025
Published online: 16 Jan 2026 *

Title: Application of intelligent algorithms in precise assessment and effect prediction of rural economic development policies

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