2026-10-14T02:28:40Z https://www.scidb.cn/oai

10.11922/sciencedb.01474 2022-01-27T10:04:52Z

2022-01-27 Analysis and Re-Optimizing Food Systems by Using Intelligent Optimization Algorithms and Machine Learning doi:10.11922/sciencedb.01474 en  In the context of serious challenges to global food security, this research focuses on the feasibility of improvements to food systems and predicting future changes. This paper establishes a coordination evaluation index on diverse indicators of different food systems, analyzes the changes after modification, and predicts the analysis of equilibrium time and critical point. In this regard, we pre-processed the data by entropy method, variance contribution rate, and normalization. Instead of single-element linear forecasting and economic income and expenditure models, we innovatively developed a multivariate evaluation system for population, cultivated land, and food systems in three major directions. Re-Optimizing Food Systems; Multiple Regression Analysis; Coupling Degree Evaluation Model; Swarm Intelligence Optimization Algorithm; Neural Network wangxu PUBLIC https://creativecommons.org/publicdomain/zero/1.0/ dataset Science Data Bank