北方农业学报2023，Vol.51Issue(5)：103-113,11.DOI:10.12190/j.issn.2096-1197.2023.05.11
基于遗传算法BP神经网络芒果成熟度判别模型的构建与优化
Construction and optimization of BP neural network mango maturity discrimination model based on genetic algorithm
摘要
Abstract
[Objective]To construct and optimize BP neural network mango maturity discrimination model based on genetic algorithm.[Methods]Using Xiaotai Mango as the experimental material,the firmness and sugar content of mangoes with different maturity levels were measured,and RGB images captured.The correlation between mango maturity and mango firmness,sugar content,and image feature variables(R,G,B,H,S,V components)were analyzed.BP neural network mango maturity discrimination model was constructed and optimized using optimal network weights and thresholds obtained by genetic algorithm.[Results]With the increase of mango maturity,sugar content showed clear increasing trend,while firmness showed decreasing trend.Image feature variables(R,G,B,H,S components)had significant differences(P<0.05)at different maturity stages.The BP neural network mango maturity discrimination model optimized by genetic algorithm had an classification accuracy of 96.3%.[Conclusion]The BP neural network mango maturity discrimination model optimized by genetic algorithm could accurately identify mangoes with different maturity levels.关键词
芒果/成熟度/遗传算法/BP神经网络/判别模型Key words
Mango/Maturity/Genetic algorithm/BP neural network/Discrimination model分类
信息技术与安全科学引用本文复制引用
房芯如,邢靖萱,索郎措,江亿平..基于遗传算法BP神经网络芒果成熟度判别模型的构建与优化[J].北方农业学报,2023,51(5):103-113,11.基金项目
江苏省大学生创新创业训练计划项目(202210307169Y) （202210307169Y）
