| 基于遗传神经网络的苹果综合分级系统 |
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| 引用本文： | 龙满生,何东健,宁纪锋.基于遗传神经网络的苹果综合分级系统[J].西北农林科技大学学报(社会科学版),2001,29(6):108-111. |
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| 作者姓名： | 龙满生 何东健 宁纪锋 |
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| 作者单位： | 西北农林科技大学机械与电子工程学院, |
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| 基金项目： | 国家自然科学基金资助项目(4130103) |
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| 摘 要： | 充分利用计算机视觉和人工神经网络技术 ,建立了一个苹果综合外观品质检测与分级系统 ,实现了对苹果的正确分级 ,正确识别率可达 90 .8%。还借助于遗传算法对 BP网络进行设计 ,提高了其学习速度。
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| 关 键 词： | 苹果分级 人工神经网络 遗传算法 计算机视觉 |
| 文章编号： | 1000-2782(2001)06-108-04 |
| 收稿时间： | 2000/12/28 0:00:00 |
| 修稿时间： | 2000年12月28 |
An integrated apple grading system based on genetic neural network |
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| LONG Man-sheng,HE Dong-jian,NING Ji-feng.An integrated apple grading system based on genetic neural network[J].Journal of Northwest Sci-Tech Univ of Agr and,2001,29(6):108-111. |
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| Authors: | LONG Man-sheng HE Dong-jian NING Ji-feng |
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| Institution: | (College of Mechanical and Electronic Engineering,Northwest Sci-Tech University of Agriculture and Forestry,Yangling,Shaanxi 712100,China) |
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| Abstract: | Computer vision and artificial neural network techniques were used to establish an integrated detecting and grading system for external qualities of apple.The results of the experiment showed that the system can correctly grade apples and achieve accuracy of 90.8%.A GA-based training algorithm was introduced to find optimal structures or the number of hidden layer nodes and connection weights of the two neural networks,and the speed of training was found improved. |
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| Keywords: | apple grading artificial neural network genetic algorithm computer vision |
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